We keep the tracking computation on the mobile device and move the rest of the computation, i.e., local mapping and loop closing, to the edge. In: 2014 IEEE international conference on robotics and biomimetics (ROBIO 2014). In this article, we will take a deeper look at the latter specifically, a method known as Graph SLAM. 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. This paper presents the results of the development, design, and implementation of a visual simultaneous localization and mapping (SLAM) system for Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. This paper attempts to give a detailed understanding of probabilistic SLAM technique, and a comparison of estimation capabilities of various SLAM techniques. This 3D scanner had also achieved good results, but there exist technical differences in the resolution and point accuracy. 2520-1956, Series E-ISSN: In general, using markers helps scanning details in small areas. He is active member of European Land Robotic Trial (ELROB) and the European Robotics Hackathon (ENRICH). Point accuracy was one of the most important factors in our project to achieve the deep learning process which is why the team decided to count on the capacities of the EinScan Pro 2X for this project. 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. There are various types of IRA, such as an accompanying This type of SLAM system is not only used on household robots but also has been applied to aerial drones with limited computational resources to determine their position without having to rely on external sensors or communication signals. Our results show that our split architecture can allow the functioning of the Visual-SLAM system long-term with limited resources. As this was the first trial of dataset shooting the research team faced some difficulties: Answer from SHINING 3D: However, the main focus was on the internal structure of the stomach, which is shown as green on the screen. The core of ANS is a novel contextual bandit learning algorithm, called LinUCB, which not only has provable theoretical learning performance guarantee but also is ultra-lightweight. 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). EinScan Pro 2X Multifunctional Handheld 3d Scanner met the needs of the Boazii University research team. Some of the key application areas of the SLAM technology are geology, land surveying, robotics (including robotic navigation and mapping), unmanned aerial vehicles Therefore, the research team used markers to facilitate the capturing of the structure. for easy real-world implementation. SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. SLAM is the estimation of the pose of a robot and the map of the environment simultaneously. Lecture Notes in Mechanical Engineering. It motivates researchers to develop algorithms that can adapt DNN model to multiple domains sequentially, while still performing well on the past domains, which is known as multi-domain learning. will be made to match authors that most closely relate to the After being satisfied with the coverage of the scanned organ, the mesh model was created. IEEE, pp 996997, Liu Y, Yang D, Li J, Gu Y, Pi J, Zhang X (2018) Stereo visual-inertial SLAM with points and lines. https://doi.org/10.1109/WoWMoM54355.2022.00034, https://doi.org/10.1109/CVPRW56347.2022.00295, Send In: 2017 9th international conference on modelling, identification and control (ICMIC). without affecting the accuracy of operation. arXiv preprint arXiv:2003.01317, Department of Electrical and Electronics Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand, 835215, India, Department of Computer Science Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand, 835215, India, Department of Production Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand, 835215, India, You can also search for this author in Maximize the scanning capability on your desktop, Digitize the world around you like never before, Hybrid light sources help you scan everything simply, Integrated software and digital solutions, Portable, high accuracy, multi-functional. Webneeded. Your email address will not be published. What Are the CBD Health Benefits in Treating Cancer? depth completion tasks that estimate a dense depth from a sparse depth have gained significant importance in robotic applications like exploration. 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. In literature, researchers have studied this approach extensively and have proposed a lot of improvement towards it. Springer, Singapore. They provide an estimation of the posterior probability distribution for the pose of the robot and for the parameters of the map. WebThe novelty is a complete and interdisciplinary methodology for large-scale mobile mapping applications. Simultaneous localization and mapping (SLAM) is a computational problem of constructing or updating a map of an unknown environment while tracking an agent's location within it. Therefore, ANS is able to closely follow the changes of the system environment by generating new knowledge for adaptive decision making. We consider a state-of-the-art video dataset (ILSVRC 2015 - VID) and state-of-the-art OD models (EfficientDet 0, 2 and 4). 2 Technically, the mobile robot incrementally builds a globally consistent map of concerned Choosing "Select These Authors" will enter China, the world`s second largest economy, is forecast 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. Simultaneous Localization and Mapping (SLAM) Technology Market Research Report: By Offering (Two-Dimensional, Three-Dimensional), Type (Extended Due to this, a rough evaluation of the model has been presented that will ameliorate the position in accuracy. New Jersey, United States The Global Simultaneous Localization And Mapping (SLAM)Market is comprehensively and accurately detailed in the report, taking into consideration various factors such as competition, regional growth, segmentation, and market size by value and volume. However, Visual-SLAM is known to be resource-intensive in memory and processing time. Edge Cloud Offloading Algorithms: Issues, Methods, and Perspectives, DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. Cognitive Intelligence and Robotics, DOI: https://doi.org/10.1007/978-981-19-1972-5, eBook Packages: The geographical analysis of the Global Simultaneous Localization And Mapping (SLAM) market provided in the report is just the right tool that competitors can use to discover untapped sales and business expansion opportunities in different regions and countries. The picture below shows the scanning of a stomach. New Jersey, United States The Global Simultaneous Localization And Mapping (SLAM) Market is comprehensively and accurately detailed in the report, taking Ali, Ali J., Kouroshli, Marziye, Semenova, Sofiya, Hashemifar, Zakieh Sadat, Ko, Steven Y., and Dantu, Karthik. IEEE, pp 10091014, Bustos AP, Chin TJ, Eriksson A, Reid I (2019) Visual SLAM: why bundle adjust. currently selected. PubMedGoogle Scholar. Etc. The growing adoption of wireless technology, increasing investment in developing robust autonomous technology, rising demand for service robots for domestic applications, are some of the major factors driving the growth of the 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). Hence, we design SmartDet, a low-complexity controller based on deep reinforcement learning (DRL) that learns to achieve the right trade-off between resource utilization and OD performance. We recommend the fixed scan mode, which can capture object sizes up to 2-3cm. In VR, users would like to interact with objects in the virtual environment without using external controllers. 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. We, at Verified Market Research, assist in understanding holistic market indicating factors and most current and future market trends. 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. We perform a detailed performance and resources use (CPU, memory, network, and power) analysis to fully understand the effect of our proposed split architecture. a blank value for author search in the parent form. The final scan data was used for training purposes for deep learning algorithms. Every regional market has a different trend or not all regional markets are impacted by the same trend. Edge-SLAM: edge-assisted visual simultaneous localization and mapping. 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. The significant developments in satellite-based techniques, sensors, telecommunications, computer hardware and software, image processing, etc. Webing and solving the whole problem, simultaneous localization, mapping and moving object tracking, or SLAMMOT. Deep learning techniques are promising to improve dense topography reconstruction and pose estimation, as well as simultaneous localization and mapping (SLAM). Low-complexity object tracking (OT) is thus used along with OD, where the latter is periodically applied to generate "fresh" references for tracking. (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. US: +1 (650)-781-4080UK: +44 (753)-715-0008APAC: +61 (488)-85-9400US Toll-Free: +1 (800)-782-1768, Website:- https://www.verifiedmarketresearch.com/, Global Simultaneous Localization And Mapping (SLAM) Market Insights, Outlook and Forecast 2023-2030, https://www.verifiedmarketresearch.com/download-sample/?rid=20902, https://www.verifiedmarketresearch.com/ask-for-discount/?rid=20902, https://www.verifiedmarketresearch.com/product/simultaneous-localization-and-mapping-slam-market/, Europe Pre-Insulated Plastic Pipes Market Regional Demand and Future Trends Analysis Report To 2030, Cosmetic & Toiletry Containers Market Report 2022, Trends, Competitive Landscape And Opportunities, Global Compound Management Market Report Insights, Outlook and Forecast 2023-2030, Global Air Care Aerosol Market Future Plans, Competitive Landscape, Trends and Forecast to 2030. 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. x k: A state vector representing the location and orientation of the vehicle.. u k: A control G. Wang and A. Fomichev, Simultaneous localization and mapping method for a planet rover based on a gaussian filter, InAIP Conference Proceedings, vol. 2171, no. 1, article 160003, AIP Publishing, 2019. View at: Publisher Site | Google Scholar The project team was able to record all structures, corners and depths with high precision. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.__________________________, https://www.reportlinker.com/p06032878/?utm_source=GNW. Millennium Conference. IEEE Trans Intell Veh 2(3):194220, Aulinas J, Petillot YR, Salvi J, Llad X (2008) The slam problem: a survey. Experimental results show that SmartDet achieves an optimal balance between tracking performance mean Average Recall (mAR) and resource usage. https://doi.org/10.1007/978-981-15-9956-9_37, DOI: https://doi.org/10.1007/978-981-15-9956-9_37, eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0). Simultaneous localization and mapping. A map generated by a SLAM Robot. In computational geometry and robotics, simultaneous localization and mapping ( SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent 's location within it. However, the frames processed with OD incur large delays, which does not comply with real-time applications requirements. Symposia proceedings (Cat. Taking this into consideration, the analysts authoring the report have provided an exhaustive analysis of specific trends of each regional Global Simultaneous Localization And Mapping (SLAM) market. currently selected. Abstract. Herein, we consider systems with constrained and erratic channel capacity, and establish parallel OT (at the mobile device) and OD (at the edge server) processes that are resilient to large OD latency. 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. In: 2013 IEEE/RSJ international conference on intelligent robots and systems, Tokyo, pp 3743. More so, we are experiencing a steady transition of this technology to industries. This is a preview of subscription content, access via your institution. It then does this again for every other node on the graph by moving there and repeating the process until it reaches some pre-determined goal state. The Institutes objective is to provide specialized academic training and research opportunity infrastructure for graduate students in specific areas of Biomedical Engineering. Then, it will compute the probability of being visible from each feature point in turn, ultimately creating what is known as the observation model. Methods which conservatively approximate the above model using covariance intersection are able to avoid reliance on statistical independence assumptions to reduce alg The important characteristic that could assist in autonomous navigation is the ability of a mobile robot to concurrently construct a map for an unknown environment and Simultaneous Localization and Mapping (SLAM) is a process to use multiple sensors to position an unmanned mobile vehicle without previous knowledge of positively influenced to solve the positioning problem efficiently and WebThe future of the simultaneous localization and mapping market looks promising with opportunities in the robotics, UAV, AR/VR, and automotive industries. Required fields are marked *. If areas are very dark, the light is absorbed. The programming examples are simple C++ implementations that can be elaborated by students or engineers; therefore, the experience in coding is not mandatory. Type in a name, or the Janusz Bdkowski is D.Sc. of the mobile device. 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. Google Scholar, Provides all necessary observation equations for LiDAR, camera, motion model, and other constraints, Gives programming examples for all observation equations, Presents complementary methodology for large-scale mapping, Part of the book series: Cognitive Intelligence and Robotics (CIR). SLAM systems SmartDet takes as input highly-heterogeneous context-related information related to the current video content and the current network conditions to optimize frequency and type of OD offloading, as well as Katch-Up utilization. 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. Currently available datasets do not support effective quantitative benchmarking. IEEE Trans Robot, Zhao Y, Smith JS, Karumanchi SH, Vela PA (2020) Closed-loop benchmarking of stereo visual-inertial SLAM systems: understanding the impact of drift and latency on tracking accuracy. The localization was determined from the images by using the 3D model. WebThe application of intravehicular robotic assistants (IRA) can save valuable working hours for astronauts in space stations. Correspondence to We use ORB-SLAM2 as a prototypical Visual-SLAM system and modify it to a split architecture between the edge and the mobile device. No editors are Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland, You can also search for this author in The global Google Scholar, Dellaert F, Fox D, Burgard W, Thrun S (1999) Monte Carlo localization for mobile robots. Through comprehensive discussions, we aim to draw an overall big picture on the existing efforts and research directions. WebOne popular mechanism to achieve accurate indoor localization and a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). The novelty is a complete and interdisciplinary methodology for large-scale mobile mapping applications. Simultaneous Localization and Mapping (SLAM) is a process to use multiple sensors to position an unmanned mobile vehicle without previous knowledge of the Our analysts, with their high expertise in data gathering and governance, utilize industry techniques to collate and examine data at all stages. Advances in Interdisciplinary Engineering pp 367375Cite as, Part of the Lecture Notes in Mechanical Engineering book series (LNME). The experiments show that ANS significantly outperforms state-of-the-art benchmarks in terms of tracking system changes and reducing the end-to-end inference delay. With respect to a baseline with full Katch-Up usage and maximum channel usage, we still increase mAR by 4% while using 50% less of the channel and 30% power resources associated with Katch-Up. without affecting the accuracy of operation. 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. DA3 learns a novel additive attention adaptor module, while freezing the weights of the pre-trained backbone model for each domain. The Simultaneous Localization and Mapping market in the U.S. is estimated at US$71.9 Million in the year 2020. The project aim was to imitate the organ structure in the smallest detail. Further, some of the operations grow in complexity over time, making it challenging to run on mobile devices continuously. (LiDAR). There are multiple different approaches when working on solutions for simultaneous localization and mapping. Dr. Mehmet Turan has received new funding through the TBTAK 2232 International Fellowship for Outstanding Researchers Program to work in the Institute. first few letters of a name, in one or both of appropriate 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. COMPETITIONRead the full report: https://www.reportlinker.com/p06032878/?utm_source=GNWAbout ReportlinkerReportLinker is an award-winning market research solution. One popular mechanism to achieve accurate indoor localization and a map of the space is using Visual Simultaneous Localization and Mapping (Visual-SLAM). Part of Springer Nature. The contribution is a set of programming examples available as supportive Furthermore, some of the operations grow in complexity over time, making it challenging to run on mobile devices continuously. (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. Therefore, the flow of the derived information is divided into subproblems corresponding to certain mobile mapping data and related observations equations. Moreover, with the inherent disadvantages in the classical approach of localization like Global Navigation Satellite System (GNSS) and Advanced Driver Assistance System (ADAS), SLAM has been considered as an efficient solution for autonomous vehicle navigation. ReportLinker They are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research. 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. This mode is especially designed for the acquisition of small objects and delivers very good results. The next step is to use this data to estimate positions for all of the feature points. The report includes different market forecasts related to market size, production, revenue, consumption, CAGR, gross margin, price, and other key factors. We propose Katch-Up, a novel tracking mechanism that improves the system resilience to excessive OD delay. When turning objects to be scanned, one needs to make sure that all the parts of the objects are fixed because otherwise it become difficult for the software to detect and stitch the acquired data together.. 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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