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    Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

    Applications, Development, Legal Issues, and Testing

    AvLentin Joseph,Amit Kumar Mondal

    Inbunden, Engelska, 2021

    Del i serien Chapman & Hall/CRC Artificial Intelligence and Robotics Series

    2 056 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing outlines the latest research related to autonomous cars and advanced driver-assistance systems, including the development, testing, and verification for real-time situations of sensor fusion, sensor placement, control algorithms, and computer vision.Features:Co-edited by an experienced roboticist and author and an experienced academicAddresses the legal aspect of autonomous driving and ADASPresents the application of ADAS in autonomous vehicle parking systemsWith an infinite number of real-time possibilities that need to be addressed, the methods and the examples included in this book are a valuable source of information for academic and industrial researchers, automotive companies, and suppliers.

    Produktinformation

    • Utgivningsdatum:2021-12-16
    • Mått:178 x 254 x 33 mm
    • Vikt:1 240 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Chapman & Hall/CRC Artificial Intelligence and Robotics Series
    • Antal sidor:520
    • Förlag:Taylor & Francis Ltd
    • ISBN:9780367499747

    Utforska kategorier

    • Flyg- och rymdteknik inom Naturvetenskap och teknik
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Lentin Joseph is an author, roboticist, and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in Kochi/Kerala. He has 10 years of experience in the robotics domain primarily in Robot Operating System, OpenCV, and PCL.He has authored 8 books in ROS, namely, Learning Robotics using Python first and second edition, Mastering ROS for Robotics Programming first and second edition, ROS Robotics Projects first and second edition, ROS Learning Path, and Robot Operating System for Absolute Beginners.He has pursued his Masters in Robotics and Automation from India and also worked at Robotics Institute, CMU, USA. He is also a TEDx speaker.Amit Kumar Mondal, PhD, is Assistant Professor in the Department of Mechatronics Engineering, Manipal Academy of Higher Education, Dubai, UAE. His area of research interest are Mobile Robotics, Autonomous System, Industrial Automation. He has published more than 30 papers in national and international journals and conferences. He has filed 3 patents and successfully completed 3 externally funded projects from SERB, IUSSTF.

    Innehållsförteckning

    • Section I Autonomous Vehicle Testing and DevelopmentChapter 1 ◾ Intelligent Decision-Making and Motion Planning for Automated VehiclesRick Voßwinkel, Maximilian Gerwien, Alexander Jungm ann, and Frank SchrödelChapter 2 ◾ Control Strategies for Autonomous VehiclesChinmay Vilas Samak, Tanmay Vilas Samak, and Sivanathan KandhasamyChapter 3 ◾ A Comprehensive Review of Navigation System, Design, and Safety Issues for Autonomous Vehicle DevelopmentPranjal Paul and Abhishek SharmaChapter 4 ◾ Object Detection, Tracking and Trajectory Prediction for Autonomous DrivingSridevi M, Sugirtha T, Hazem Rashed, B Ravi Kiran, and Senthil YogamaniChapter 5 ◾ ADAS Vision System with Video Super Resolution: Need and ScopeMrunmayee V. Daithankar and Sachin D. RuikarChapter 6 ◾ Lane Detection, Prediction, and Path Planning Any Gupta and Ayesha ChoudharyChapter 7 ◾ PRN-SORB-SLAM: A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path PlanningKishorjit Nongm eikapam, Wahengbam Kanan Kumar, and Aheibam Dinamani SinghChapter 8 ◾ Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROSGayathri Rajendran, Uma Vijayasundaram, and Bettina O’BrienChapter 9 ◾ Automated Guided Autonomous Car Using Deep Learning and Computer VisionAnubha Parashar, Vidyadhar Aski, and Apoorva ParasharChapter 10 ◾ Deep Learning for Obstacle Avoidance in Autonomous DrivingMallika Garg, Jagpal Singh Ubhi, and Ashwani Kumar Agg arwalChapter 11 ◾ An Array of Processed Channel for Multiple Object Detection and Distance Estimation in a Video Using a Homographic Mono Camera SystemWahengbam Kanan Kumar, Aheibam Dinamani Singh, and Kishorjit Nongm eikapamChapter 12 ◾ Stackelberg: Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous DrivingR Syama and C MalaChapter 13 ◾ Recent Verification and Validation Methodologies for Advanced Driver-Assistance SystemsFranz Wotawa, Florian Klück, Martin Zimm ermann, Mihai Nica, Hermann Felbinger, Jianbo Tao, and Yihao LiSection II ADAS and AV Legal Issues and LiabilitiesChapter 14 ◾ Human Factors of Automated Driving SystemsStefan BrandenburgChapter 15 ◾ Human Factors of Vehicle AutomationSunil Kr. Sharma, Sunil Kr. Singh, and Subhash C. PanjaChapter 16 ◾ Legal Issues Surrounding Cyber Security and Privacy on Automated VehicleRakesh Kumar Chopra and Abhijeet SrivastavaChapter 17 ◾ Human Factors in Autonomous Driving Systems: A User PerspectiveNeeta Maitre and Neeraj HanumanteChapter 18 ◾ Anticipating Legal Issues Associated with the Cyber Security and Privacy of Automated Driving Systems in IndiaSujata Bali and Shamneesh SharmaChapter 19 ◾ ADAS Technology: A Review on Challenges, Legal Risk Mitigation and SolutionsMadhusmita Mishra and Abhishek KumarSection III Autonomous Vehicle ApplicationsChapter 20 ◾ Localization and Mapping for Autonomous DrivingSridevi M, Sugirtha T, B Ravi Kiran, and Senthil YogamaniChapter 21 ◾ GPS-Based Localization of Autonomous VehiclesAshwani Kumar AggarwalChapter 22 ◾ Video-Based Accident Detection of CarsEarnest Paul IjjinaChapter 23 ◾ ADS and AVS: Its Cyber Security and Privacy Legal IssuesRavishankar CV and Kavitha KSChapter 24 ◾ Open-Pit Mine Autonomous BotApoorva Parashar, Anubha Parashar, and Vidyadhar Aski