IEEE Access 7:3428934300, Bresson G, Alsayed Z, Yu L, Glaser S (2017) Simultaneous localization and mapping: a survey of current trends in autonomous driving. The global WebSimultaneous Localization and Mapping (SLAM) is being deployed in real-world applications, however many state-of-the-art solutions still struggle in many common Through comprehensive discussions, we aim to draw an overall big picture on the existing efforts and research directions. This 3D scanner had also achieved good results, but there exist technical differences in the resolution and point accuracy. Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. What Are the CBD Health Benefits in Treating Cancer? Your email address will not be published. In the project, a comprehensive endoscopic SLAM dataset containing both capsule and standard endoscopy recordings is introduced. The significant developments in satellite-based techniques, sensors, telecommunications, computer hardware and software, image processing, etc. The Institutes objective is to provide specialized academic training and research opportunity infrastructure for graduate students in specific areas of Biomedical Engineering. Subhranil Das . depth completion tasks that estimate a dense depth from a sparse depth have gained significant importance in robotic applications like exploration. To do this, the robot starts at one node and uses its sensor readings to determine which nodes it can see directly along with their probabilities of visibility essentially using Bayesian inference with its preexisting map (i.e., the graph). SLAM is the estimation of the pose of a robot and the map of the environment simultaneously. Every regional market has a different trend or not all regional markets are impacted by the same trend. WebThe simultaneous localization and mapping market is expected to grow at a CAGR of 26.78% during the forecast period. Inquire for a Discount on this Premium Report@ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=20902. It is believed by many that a solution to the SLAM problem will open up a vast range of po-tential applications for autonomous robots (Thorpe and Durrant-Whyte, 2001; Christensen, 2002). Moreover, we deployed DA3 into the popular NIVDIA Jetson Nano edge GPU, where the measured experimental results show our proposed \mldam reduces the on-device training memory consumption by 19x-37x, and training time by 2x, in comparison to the baseline methods (e.g., standard fine-tuning, Parallel and Series Res. (4) The report also discusses competitive situation and trends and sheds light on company expansions and merger and acquisition taking place in the Global Simultaneous Localization And Mapping (SLAM) market. One of the most notable is its accuracy, which increases as more sensor data is fed back into the system allowing it to update its map and adjust for inaccuracies and other factors that can throw off localization such as changing lighting conditions. No. will be made to match authors that most closely relate to the The proposed methodology is not fulfilling all SLAM aspects evident in the literature, but it is based on the experience within the context of the pragmatic and realistic applications. However, Visual-SLAM is known to be resource-intensive in memory and processing time. This is called localization. The robot can also simultaneously use the camera and other sensors to create a map of the obstacles in its surroundings and avoid cleaning the same area twice. This is called mapping. A Panda robotic arm, EinScan Pro 2X, two different commercially available capsule endoscopes with different camera properties and two different conventional endoscopy cameras were employed to collect data from eight ex-vivo porcine gastrointestinal (GI)-tract organs. and Ph.D. in mobile robotics. One popular mechanism to achieve accurate indoor localization as well as a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). What is simultaneous localization and mapping? During our study in multi-domain training process, we observe that large memory used for activation storage is the bottleneck that largely limits the training time and cost on edge devices. WebThe application of intravehicular robotic assistants (IRA) can save valuable working hours for astronauts in space stations. This is a preview of subscription content, access via your institution. Save my name, email, and website in this browser for the next time I comment. Offloading OD to edge servers can mitigate this issue, but existing work focuses on the optimization of the offloading process in systems where the wireless channel has a very large capacity. It also keeps the computation and memory cost on the mobile device constant, which would allow for the deployment of other end applications that use Visual-SLAM. We implement our system on a video stream object detection testbed to validate the design of ANS and evaluate its performance. ReportLinker, New York, Dec. 07, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Simultaneous Localization and Mapping Industry" - https://www.reportlinker.com/p06032878/?utm_source=GNW 4 Billion by 2027, growing at aCAGR of 38.7% over the period 2020-2027. first few letters of a name, in one or both of appropriate Due to their high complexity, the execution of these DNNs requires excessive time and energy. In this article, we present Edge-SLAM, a system that uses edge computing resources to offload parts of Visual-SLAM. One popular mechanism to achieve accurate indoor localization as well as a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). We propose Katch-Up, a novel tracking mechanism that improves the system resilience to excessive OD delay. positively influenced to solve the positioning problem efficiently and Recently, he is working on the methodology of fulfilling the gap between geodesy and cartography, geo science and mobile robotics. Almost all conventional methods only focus on improving accuracy with minimal parameter update, while ignoring high computing and memory cost during training, which makes it difficult to deploy multi-domain learning into more and more widely used resource-limited edge devices, like mobile phone, IoT, embedded system, etc. The final scan data was used for training purposes for deep learning algorithms. Webing and solving the whole problem, simultaneous localization, mapping and moving object tracking, or SLAMMOT. (2) Who are the leading players functioning in the Global Simultaneous Localization And Mapping (SLAM) marketplace? Differentiating from prior works, such module not only mitigates activation memory buffering for reducing memory usage during training, but also serves as a dynamic. IEEE, pp 996997, Liu Y, Yang D, Li J, Gu Y, Pi J, Zhang X (2018) Stereo visual-inertial SLAM with points and lines. Besides, the algorithm performance on the tissue with various texture details for the same organ type can be tested. He is active member of European Land Robotic Trial (ELROB) and the European Robotics Hackathon (ENRICH). This is an excellent research study specially compiled to provide Symposia proceedings (Cat. The report comes out as an accurate and highly detailed resource for gaining significant insights into the growth of different product and application segments of the Global Simultaneous Localization And Mapping (SLAM) market. Our research studies help our clients make superior data-driven decisions, understand market forecast, capitalize on future opportunities and optimize efficiency by working as their partner to deliver accurate and valuable information. The markers were placed close together on the white surface of the scaffold. ReportLinker For example, the robot may choose to create a connection between two points if they are horizontally or vertically adjacent. (LiDAR). Simultaneous Localization and Mapping (SLAM) is a process to use multiple sensors to position an unmanned mobile vehicle without previous knowledge of However, Visual-SLAM is known to be resource-intensive in memory and processing time. The team looked for a corner that the EinScan Pro 2X recognized and followed the instructions on the user interface. This was successfully achieved with the EinScan Pro 2X Multifunctional Handheld 3D Scanner. The middle area of the stomach contains the most important structure. Edge computing provides additional compute and memory resources to mobile devices to allow offloading tasks without the large latencies seen when offloading to the cloud. However, the frames processed with OD incur large delays, which does not comply with real-time applications requirements. to Email, Search IEEE, pp 15, Huang W, Liu H, Wan W (2020) An online initialization and self-calibration method for stereo visual-inertial odometry. IEEE, pp 15841589, Saeedi S, Paull L, Trentini M, Li H (2015) Occupancy grid map merging for multiple robot simultaneous localization and mapping. Have feedback or suggestions for a way to improve these results? Edge computing provides additional compute and memory resources to mobile devices to allow offloading of some tasks without the large latencies seen when offloading to the cloud. Key Players Mentioned in the Global Simultaneous Localization And Mapping (SLAM) Market Research Report: Google, Microsoft, Uber, Sony, Clearpath Robotics, Vecna, Locus Robotics, Fetch Robotics, IRobot, LG Electronics, Wikitude, SLAM, DJI, Amazon, and AVIC. Edge-SLAM: edge-assisted visual simultaneous localization and mapping. IEEE Trans Veh Technol 68(5):47344747, Zhang F, Li S, Yuan S, Sun E, Zhao L (2017) Algorithms analysis of mobile robot SLAM based on Kalman and particle filter. We perform a detailed performance and resources use (CPU, memory, network, and power) analysis to fully understand the effect of our proposed split architecture. without affecting the accuracy of operation. Simultaneous localization and mapping (SLAM) is the process of mapping an area whilst keeping track of the location of the device within that area. Each point in this graph has associated with it a probability of being visible from some other node in the graph. The industries we cover span over a large spectrum including Technology, Chemicals, Manufacturing, Energy, Food and Beverages, Automotive, Robotics, Packaging, Construction, Mining & Gas. In: 2013 IEEE intelligent vehicles symposium (IV). He is actively working on the theoretical and practical aspects of simultaneous localization and mapping applications assuming global scale. The recent trends on Simultaneous Localization and Navigation (SLAM) technique have been applied on autonomous vehicle are being explained in this paper. Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in Currently available datasets do not support effective quantitative benchmarking. The nodes which have a high degree can be considered corner points while those with lower degrees represent more middling points on objects in the scene. Nowadays, one practical limitation of deep neural network (DNN) is its high degree of specialization to a single task or domain (e.g., one visual domain). During post processing the holes in the Mesh were filled with the auto hole filling application, and the unnecessary areas eliminated with the CTRL + right mouse selection. The acquired .ply file was edited in Blender to create a heatmap in order to obtain the depth values of the models. IEEE Trans Rob 32(3):600613, Zhang Teng, Kanzhi Wu, Song Jingwei, Huang Shoudong, Dissanayake Gamini (2017) Convergence and consistency analysis for a 3-D Invariant-EKF SLAM. These medical sprays are not harmful or toxic., Answer from SHINING 3D: Moreover, it will help them to identify key growth pockets of the Global Simultaneous Localization And Mapping (SLAM) market. In: 2017 9th international conference on modelling, identification and control (ICMIC). Abstract. However, Visual-SLAM is known to be resource-intensive in memory and processing time. We extensively evaluate SmartDet on a real-world testbed composed by a JetSon Nano as mobile device and a GTX 980 Ti as edge server, connected through a Wi-Fi link, to collect several network-related traces, as well as energy measurements. Simultaneous localization and mapping, or SLAM, is an important technique in the world of robotics. (3) What are the key strategies participants are likely to adopt to increase their share in the Global Simultaneous Localization And Mapping (SLAM) industry? The 3D-scanned models obtained for six organs are fixed to scaffolds that were cut in O, Z and L shapes to mimic the GI-tract path through the ascending colon to the transverse colon. Some of the key application areas of the SLAM technology are geology, land surveying, robotics (including robotic navigation and mapping), unmanned aerial vehicles The red color is an alert that it is too bright to continue the scanning process. Please fill this form to receive a free quote within 24 hours (during working days). In literature, researchers have studied this approach extensively and have proposed a lot of improvement towards it. An attempt (1) A complete section of the Global Simultaneous Localization And Mapping (SLAM) market report is dedicated for market dynamics, which include influence factors, market drivers, challenges, opportunities, and trends. We show that this technique greatly improves the quality of the reference available to tracking, and boosts performance up to 33%. Ali, Ali J., Kouroshli, Marziye, Semenova, Sofiya, Hashemifar, Zakieh Sadat, Ko, Steven Y., and Dantu, Karthik. Simultaneous Localization and Mapping. 2520-1956, Series E-ISSN: Robotics, Mathematical Applications in Computer Science, Computer Vision, Over 10 million scientific documents at your fingertips, Not logged in (8) Which region is lucrative for the manufacturers? The team from Boazii University used the recorded capsule endoscopy images as input. WebThe future of the simultaneous localization and mapping market looks promising with opportunities in the robotics, UAV, AR/VR, and automotive industries. Positioning is a need for many applications related to mapping and navigation either in civilian or military domains. In a previous research project, another 3D Scanner was used. IEEE Robot Autom Mag 13(3):108117, Dissanayake G, Durrant-Whyte H, Bailey T (2000) A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 34.9% and 33.4% respectively over the 2020-2027 period. No editors are Ali, Ali J., Kouroshli, Marziye, Semenova, Sofiya, Hashemifar, Zakieh Sadat, Ko, Steven Y., & Dantu, Karthik. Furthermore, some of the operations grow in complexity over time, making it challenging to run on mobile devices continuously. The localization was determined from the images by using the 3D model. Editors. Taking into account the ongoing post pandemic recovery, growth in the 3D SLAM segment is readjusted to a revised 42.8% CAGR for the next 7-year period.The U.S. Market is Estimated at $71.9 Million, While China is Forecast to Grow at 37.5% CAGRThe Simultaneous Localization and Mapping market in the U.S. is estimated at US$71.9 Million in the year 2020. Outdoor SLAM has been widely used with the assistance of LiDAR or GPS. It also keeps the computation and memory cost on the mobile device constant which would allow for deployment of other end applications that use Visual-SLAM. The next step is to use this data to estimate positions for all of the feature points. From the above figure, at a time instant k, the following quantities are defined. We describe the design choices in this effort and implement them in our prototype. In: 2017 IEEE/RSJ international conference on intelligent robots and systems (IROS). a blank value for editor search in the parent form. Market experts have also offered the outline of every leading player of the Global Simultaneous Localization And Mapping (SLAM) market, considering the key aspects such as areas of operation, production, and product portfolio. The brightness is shown at the top of the left small screen. China, the world`s second largest economy, is forecast Moreover, it brings to light the market concentration rate and market shares of top three and five players. search boxes above and select the search button. We validate DA3 on multiple datasets against state-of-the-art methods, which shows great improvement in both accuracy and training time. WebSimultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. Large-Scale Simultaneous Localization and Mapping, https://doi.org/10.1007/978-981-19-1972-5, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022, 30 b/w illustrations, 174 illustrations in colour, Shipping restrictions may apply, check to see if you are impacted, Final Map Qualitative and Quantitative Evaluation, Mathematical Applications in Computer Science, Tax calculation will be finalised during checkout. One popular mechanism to achieve accurate indoor localization and a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). The process starts out by taking a set of starting feature points then creating connections between them according to certain criteria. The project aim was to imitate the organ structure in the smallest detail. search boxes above and select the search button. (4) What is the competitive situation in the Global Simultaneous Localization And Mapping (SLAM) market? IEEE, pp 10091014, Bustos AP, Chin TJ, Eriksson A, Reid I (2019) Visual SLAM: why bundle adjust. To make this happen, efficient coordination mechanisms and offloading algorithms are needed to allow the mobile devices and the edge cloud to work together smoothly. Moreover, since the implementation does not require many additional external programming libraries, it can be easily integrated with any mobile mapping framework. The SLAM has been considered as a low cost and robust technique which involves in obtaining the map of the environment and determining the position of the vehicle. Abstract. Our analysts, with their high expertise in data gathering and governance, utilize industry techniques to collate and examine data at all stages. The contribution is a set of programming examples available as supportive complementary material for this book. MARKET TRENDS & DRIVERS4. In: 2009 third international symposium on intelligent information technology application, vol 1. We keep the tracking computation on the mobile device and move the rest of the computation, i.e., local mapping and loop closure, to the edge. The term SLAM stands for simultaneous localization and mapping (proposed by Smith and Cheeseman 1 in 1986), being recognized as an eminent tool for mobile robot ego-localization at an unknown location within an unknown environment. Millennium Conference. IEEE, pp 548552, Garca-Fernndez F, Hostettler R, Srkk S (2019) Rao-blackwellized posterior linearization backward SLAM. This paper builds a collaborative deep inference system between a resource-constrained mobile device and a powerful edge server, aiming at joining the power of both on-device processing and computation offloading. Simultaneous localization and mapping technology (SLAM) technology is a computer program that creates a virtual map of the surroundings of an agent in real time. There are multiple different approaches when working on solutions for simultaneous localization and mapping. Simultaneous localization and mapping, or SLAM, is an important technique in the world of robotics. Cognitive Intelligence and Robotics, DOI: https://doi.org/10.1007/978-981-19-1972-5, eBook Packages: If you have an exciting project, contact us and we will evaluate possibilities to cooperate with you! China, the world`s second largest economy, is forecast to reach a projected market size of US$396.9 Million by the year 2027 trailing a CAGR of 37.5% over the analysis period 2020 to 2027. Methods which conservatively approximate the above model using covariance intersection are able to avoid reliance on statistical independence assumptions to reduce alg 2D SLAM, one of the segments analyzed in the report, is projected to record 36.4% CAGR and reach US$1.4 Billion by the end of the analysis period. The project aim was to imitate the organ structure in the smallest detail. SLAM systems After being satisfied with the coverage of the scanned organ, the mesh model was created. After the organs (stomach, colon and small intestine) were sewn in L, O and Z form, the 3D scanning started. We use ORB-SLAM2 as a prototypical Visual-SLAM system and modify it to a split architecture between the edge and the mobile device. Low-complexity object tracking (OT) is thus used along with OD, where the latter is periodically applied to generate "fresh" references for tracking. Statistical techniques used to approximate the above equations include Kalman filters and particle filters. As this was the first trial of dataset shooting the research team faced some difficulties: Answer from SHINING 3D: We consider a state-of-the-art video dataset (ILSVRC 2015 - VID) and state-of-the-art OD models (EfficientDet 0, 2 and 4). It includes several research studies such as manufacturing cost analysis, absolute dollar opportunity, pricing analysis, company profiling, production and consumption analysis, and market dynamics. These can be categorized into nonparametric methods like particle filters (PF) based algorithms which work by keeping track of the probability distribution over all possible configurations; and parametric methods that rely on a model of the robot and its environment to determine positions. More so, we are experiencing a steady transition of this technology to industries. Therefore, the flow of the derived information is divided into subproblems corresponding to certain mobile mapping data and related observations equations. Verified Market Research is a leading Global Research and Consulting firm that has been providing advanced analytical research solutions, custom consulting and in-depth data analysis for 10+ years to individuals and companies alike that are looking for accurate, reliable and up to date research data and technical consulting. This paper presents the results of the development, design, and implementation of a visual simultaneous localization and mapping (SLAM) system for FOCUS ON SELECT PLAYERS3. The competitive landscape is a critical aspect every key player needs to be familiar with. The method allows a robot to use information from its sensors to create a map of its surroundings while simultaneously keeping track of where it is in that environment. Type in a name, or the IEEE, pp 10501055, Fraundorfer Friedrich, Scaramuzza Davide (2012) Visual odometry: Part II: matching, robustness, optimization, and applications. Required fields are marked *. Finally, the team saved the the 3D model in .ply, .obj and .txt. Then, it will compute the probability of being visible from each feature point in turn, ultimately creating what is known as the observation model. EXECUTIVE SUMMARY1. The project team was able to record all structures, corners and depths with high precision. Leader Local Garage Door | Sacramento(916-226-3750), The Locksmith Guy | Clearwater(727-362-8165), Global Plumbing FL 24/7 Emergency Plumbing Services | Plantation (954) 765-6376, Pioneer AC Repair of Miami | Miami (786) 670-9657, Blue Wolf Plumbing | Gilbert ( 480-637-3541 ). The core technology enabling these applications is Simultaneous Localization And Mapping (SLAM), which constructs the map of an unknown environment while simultaneously keeping track of the location of the agent. PubMed This process has multiple advantages over other localization and mapping techniques. Our study also indicates that the offloading algorithms in edge cloud have demonstrated profound potentials for future technology and application development. WebOne popular mechanism to achieve accurate indoor localization and a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). For this purpose, scanning was started at a corner of the organ and continued alongside one another to the last corner. MARKET ANALYSISUNITED STATESSimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Statesfor 2022 (E)Table 26: USA Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 27: USA 7-Year Perspective for Simultaneous Localizationand Mapping by Offering - Percentage Breakdown of Value Salesfor 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 28: USA Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 29: USA 7-Year Perspective for Simultaneous Localizationand Mapping by Application - Percentage Breakdown of ValueSales for Automotive, Other Applications, Robotics, UAV and AR/ VR for the Years 2021 & 2027Table 30: USA Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 31: USA 7-Year Perspective for Simultaneous Localizationand Mapping by Type - Percentage Breakdown of Value Sales forEKF SLAM, Fast SLAM, Graph-Based SLAM and Other Types for theYears 2021 & 2027CANADATable 32: Canada Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 33: Canada 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 34: Canada Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 35: Canada 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 36: Canada Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 37: Canada 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027JAPANSimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2022 (E)Table 38: Japan Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 39: Japan 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 40: Japan Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 41: Japan 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 42: Japan Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 43: Japan 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027CHINASimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2022 (E)Table 44: China Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 45: China 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 46: China Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 47: China 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 48: China Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 49: China 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027EUROPESimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2022 (E)Table 50: Europe Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Geographic Region -France, Germany, Italy, UK and Rest of Europe Markets -Independent Analysis of Annual Sales in US$ for Years 2020through 2027 and % CAGRTable 51: Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Geographic Region - PercentageBreakdown of Value Sales for France, Germany, Italy, UK andRest of Europe Markets for Years 2021 & 2027Table 52: Europe Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 53: Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 54: Europe Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 55: Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 56: Europe Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 57: Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027FRANCESimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2022 (E)Table 58: France Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 59: France 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 60: France Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 61: France 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 62: France Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 63: France 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027GERMANYSimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2022:( E)Table 64: Germany Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 65: Germany 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 66: Germany Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 67: Germany 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 68: Germany Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 69: Germany 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027ITALYTable 70: Italy Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 71: Italy 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 72: Italy Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 73: Italy 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 74: Italy Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 75: Italy 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027UNITED KINGDOMSimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdomfor 2022 (E)Table 76: UK Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Offering - 2D SLAM and3D SLAM - Independent Analysis of Annual Sales in US$ for theYears 2020 through 2027 and % CAGRTable 77: UK 7-Year Perspective for Simultaneous Localizationand Mapping by Offering - Percentage Breakdown of Value Salesfor 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 78: UK Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 79: UK 7-Year Perspective for Simultaneous Localizationand Mapping by Application - Percentage Breakdown of ValueSales for Automotive, Other Applications, Robotics, UAV and AR/ VR for the Years 2021 & 2027Table 80: UK Recent Past, Current & Future Analysis forSimultaneous Localization and Mapping by Type - EKF SLAM, FastSLAM, Graph-Based SLAM and Other Types - Independent Analysisof Annual Sales in US$ for the Years 2020 through 2027 and %CAGRTable 81: UK 7-Year Perspective for Simultaneous Localizationand Mapping by Type - Percentage Breakdown of Value Sales forEKF SLAM, Fast SLAM, Graph-Based SLAM and Other Types for theYears 2021 & 2027REST OF EUROPETable 82: Rest of Europe Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Offering - 2D SLAMand 3D SLAM - Independent Analysis of Annual Sales in US$ forthe Years 2020 through 2027 and % CAGRTable 83: Rest of Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 84: Rest of Europe Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 85: Rest of Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 86: Rest of Europe Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Type - EKF SLAM,Fast SLAM, Graph-Based SLAM and Other Types - IndependentAnalysis of Annual Sales in US$ for the Years 2020 through 2027and % CAGRTable 87: Rest of Europe 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027ASIA-PACIFICSimultaneous Localization and Mapping Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for2022 (E)Table 88: Asia-Pacific Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Offering - 2D SLAMand 3D SLAM - Independent Analysis of Annual Sales in US$ forthe Years 2020 through 2027 and % CAGRTable 89: Asia-Pacific 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 90: Asia-Pacific Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 91: Asia-Pacific 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 92: Asia-Pacific Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Type - EKF SLAM,Fast SLAM, Graph-Based SLAM and Other Types - IndependentAnalysis of Annual Sales in US$ for the Years 2020 through 2027and % CAGRTable 93: Asia-Pacific 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027REST OF WORLDTable 94: Rest of World Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Offering - 2D SLAMand 3D SLAM - Independent Analysis of Annual Sales in US$ forthe Years 2020 through 2027 and % CAGRTable 95: Rest of World 7-Year Perspective for SimultaneousLocalization and Mapping by Offering - Percentage Breakdown ofValue Sales for 2D SLAM and 3D SLAM for the Years 2021 & 2027Table 96: Rest of World Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Application -Automotive, Other Applications, Robotics, UAV and AR / VR -Independent Analysis of Annual Sales in US$ for the Years 2020through 2027 and % CAGRTable 97: Rest of World 7-Year Perspective for SimultaneousLocalization and Mapping by Application - Percentage Breakdownof Value Sales for Automotive, Other Applications, Robotics,UAV and AR / VR for the Years 2021 & 2027Table 98: Rest of World Recent Past, Current & Future Analysisfor Simultaneous Localization and Mapping by Type - EKF SLAM,Fast SLAM, Graph-Based SLAM and Other Types - IndependentAnalysis of Annual Sales in US$ for the Years 2020 through 2027and % CAGRTable 99: Rest of World 7-Year Perspective for SimultaneousLocalization and Mapping by Type - Percentage Breakdown ofValue Sales for EKF SLAM, Fast SLAM, Graph-Based SLAM and OtherTypes for the Years 2021 & 2027IV. 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