Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Editat de Lentin Joseph, Amit Kumar Mondalen Limba Engleză Paperback – 4 oct 2024
Features:
- Co-edited by an experienced roboticist and author and an experienced academic
- Addresses the legal aspect of autonomous driving and ADAS
- Presents the application of ADAS in autonomous vehicle parking systems
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 335.52 lei 6-8 săpt. | |
| CRC Press – 4 oct 2024 | 335.52 lei 6-8 săpt. | |
| Hardback (1) | 1065.42 lei 6-8 săpt. | |
| CRC Press – 16 dec 2021 | 1065.42 lei 6-8 săpt. |
Din seria Chapman & Hall/CRC Artificial Intelligence and Robotics Series
-
Preț: 373.92 lei -
Preț: 190.92 lei -
Preț: 347.43 lei - 20%
Preț: 286.00 lei -
Preț: 332.55 lei -
Preț: 145.35 lei - 20%
Preț: 197.14 lei - 20%
Preț: 400.32 lei -
Preț: 364.18 lei - 20%
Preț: 246.55 lei - 20%
Preț: 590.29 lei - 28%
Preț: 258.52 lei - 31%
Preț: 514.03 lei - 8%
Preț: 375.27 lei - 27%
Preț: 274.84 lei - 30%
Preț: 223.76 lei -
Preț: 502.14 lei - 20%
Preț: 854.26 lei - 20%
Preț: 391.38 lei - 5%
Preț: 429.84 lei - 27%
Preț: 274.66 lei - 20%
Preț: 359.28 lei - 26%
Preț: 265.63 lei -
Preț: 391.77 lei - 15%
Preț: 657.31 lei - 20%
Preț: 352.74 lei - 20%
Preț: 544.38 lei - 20%
Preț: 1065.42 lei - 18%
Preț: 1096.29 lei - 23%
Preț: 514.45 lei - 21%
Preț: 412.39 lei
Preț: 335.52 lei
Preț vechi: 476.70 lei
-30% Nou
Puncte Express: 503
Preț estimativ în valută:
64.25€ • 65.57$ • 54.06£
64.25€ • 65.57$ • 54.06£
Carte tipărită la comandă
Livrare economică 25 februarie-11 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780367495367
ISBN-10: 0367495368
Pagini: 540
Ilustrații: 378
Dimensiuni: 178 x 254 mm
Greutate: 1 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Locul publicării:Boca Raton, United States
ISBN-10: 0367495368
Pagini: 540
Ilustrații: 378
Dimensiuni: 178 x 254 mm
Greutate: 1 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Locul publicării:Boca Raton, United States
Public țintă
Academic, Postgraduate, Professional, Professional Practice & Development, and Undergraduate AdvancedNotă biografică
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.
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.
Cuprins
Section IAutonomous Vehicle Testing and Development
Chapter 1 ◾ Intelligent Decision-Making and Motion Planning for Automated Vehicles
Rick Voßwinkel, Maximilian Gerwien, Alexander Jungm ann, and Frank Schrödel
Chapter 2 ◾ Control Strategies for Autonomous Vehicles
Chinmay Vilas Samak, Tanmay Vilas Samak, and Sivanathan Kandhasamy
Chapter 3 ◾ A Comprehensive Review of Navigation System, Design, and Safety Issues for Autonomous Vehicle Development
Pranjal Paul and Abhishek Sharma
Chapter 4 ◾ Object Detection, Tracking and Trajectory Prediction for Autonomous Driving
Sridevi M, Sugirtha T, Hazem Rashed, B Ravi Kiran, and Senthil Yogamani
Chapter 5 ◾ ADAS Vision System with Video Super Resolution: Need and Scope
Mrunmayee V. Daithankar and Sachin D. Ruikar
Chapter 6 ◾ Lane Detection, Prediction, and Path Planning
Any Gupta and Ayesha Choudhary
Chapter 7 ◾ PRN-SORB-SLAM: A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path Planning
Kishorjit Nongm eikapam, Wahengbam Kanan Kumar, and Aheibam Dinamani Singh
Chapter 8 ◾ Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROS
Gayathri Rajendran, Uma Vijayasundaram, and Bettina O’Brien
Chapter 9 ◾ Automated Guided Autonomous Car Using Deep Learning and Computer Vision
Anubha Parashar, Vidyadhar Aski, and Apoorva Parashar
Chapter 10 ◾ Deep Learning for Obstacle Avoidance in Autonomous Driving
Mallika Garg, Jagpal Singh Ubhi, and Ashwani Kumar Agg arwal
Chapter 11 ◾ An Array of Processed Channel for Multiple Object Detection and Distance Estimation in a Video Using a Homographic Mono Camera System
Wahengbam Kanan Kumar, Aheibam Dinamani Singh, and Kishorjit Nongm eikapam
Chapter 12 ◾ Stackelberg: Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving
R Syama and C Mala
Chapter 13 ◾ Recent Verification and Validation Methodologies for Advanced Driver-Assistance Systems
Franz Wotawa, Florian Klück, Martin Zimm ermann, Mihai Nica, Hermann Felbinger, Jianbo Tao, and Yihao Li
Section IIADAS and AV Legal Issues and Liabilities
Chapter 14 ◾ Human Factors of Automated Driving Systems
Stefan Brandenburg
Chapter 15 ◾ Human Factors of Vehicle Automation
Sunil Kr. Sharma, Sunil Kr. Singh, and Subhash C. Panja
Chapter 16 ◾ Legal Issues Surrounding Cyber Security and Privacy on Automated Vehicle
Rakesh Kumar Chopra and Abhijeet Srivastava
Chapter 17 ◾ Human Factors in Autonomous Driving Systems: A User Perspective
Neeta Maitre and Neeraj Hanumante
Chapter 18 ◾ Anticipating Legal Issues Associated with the Cyber Security and Privacy of Automated Driving Systems in India
Sujata Bali and Shamneesh Sharma
Chapter 19 ◾ ADAS Technology: A Review on Challenges, Legal Risk Mitigation and Solutions
Madhusmita Mishra and Abhishek Kumar
Section IIIAutonomous Vehicle Applications
Chapter 20 ◾ Localization and Mapping for Autonomous Driving
Sridevi M, Sugirtha T, B Ravi Kiran, and Senthil Yogamani
Chapter 21 ◾ GPS-Based Localization of Autonomous Vehicles
Ashwani Kumar Aggarwal
Chapter 22 ◾ Video-Based Accident Detection of Cars
Earnest Paul Ijjina
Chapter 23 ◾ ADS and AVS: Its Cyber Security and Privacy Legal Issues
Ravishankar CV and Kavitha KS
Chapter 24 ◾ Open-Pit Mine Autonomous Bot
Apoorva Parashar, Anubha Parashar, and Vidyadhar Aski
Chapter 1 ◾ Intelligent Decision-Making and Motion Planning for Automated Vehicles
Rick Voßwinkel, Maximilian Gerwien, Alexander Jungm ann, and Frank Schrödel
Chapter 2 ◾ Control Strategies for Autonomous Vehicles
Chinmay Vilas Samak, Tanmay Vilas Samak, and Sivanathan Kandhasamy
Chapter 3 ◾ A Comprehensive Review of Navigation System, Design, and Safety Issues for Autonomous Vehicle Development
Pranjal Paul and Abhishek Sharma
Chapter 4 ◾ Object Detection, Tracking and Trajectory Prediction for Autonomous Driving
Sridevi M, Sugirtha T, Hazem Rashed, B Ravi Kiran, and Senthil Yogamani
Chapter 5 ◾ ADAS Vision System with Video Super Resolution: Need and Scope
Mrunmayee V. Daithankar and Sachin D. Ruikar
Chapter 6 ◾ Lane Detection, Prediction, and Path Planning
Any Gupta and Ayesha Choudhary
Chapter 7 ◾ PRN-SORB-SLAM: A Parallelized Region Proposal Network-Based Swift ORB SLAM System for Stereo Vision-Based Local Path Planning
Kishorjit Nongm eikapam, Wahengbam Kanan Kumar, and Aheibam Dinamani Singh
Chapter 8 ◾ Ontology-Based Indoor Domain Model Representation and Reasoning for Robot Path Planning Using ROS
Gayathri Rajendran, Uma Vijayasundaram, and Bettina O’Brien
Chapter 9 ◾ Automated Guided Autonomous Car Using Deep Learning and Computer Vision
Anubha Parashar, Vidyadhar Aski, and Apoorva Parashar
Chapter 10 ◾ Deep Learning for Obstacle Avoidance in Autonomous Driving
Mallika Garg, Jagpal Singh Ubhi, and Ashwani Kumar Agg arwal
Chapter 11 ◾ An Array of Processed Channel for Multiple Object Detection and Distance Estimation in a Video Using a Homographic Mono Camera System
Wahengbam Kanan Kumar, Aheibam Dinamani Singh, and Kishorjit Nongm eikapam
Chapter 12 ◾ Stackelberg: Hidden Markov Model Approach for Behavior Prediction of Surrounding Vehicles for Autonomous Driving
R Syama and C Mala
Chapter 13 ◾ Recent Verification and Validation Methodologies for Advanced Driver-Assistance Systems
Franz Wotawa, Florian Klück, Martin Zimm ermann, Mihai Nica, Hermann Felbinger, Jianbo Tao, and Yihao Li
Section IIADAS and AV Legal Issues and Liabilities
Chapter 14 ◾ Human Factors of Automated Driving Systems
Stefan Brandenburg
Chapter 15 ◾ Human Factors of Vehicle Automation
Sunil Kr. Sharma, Sunil Kr. Singh, and Subhash C. Panja
Chapter 16 ◾ Legal Issues Surrounding Cyber Security and Privacy on Automated Vehicle
Rakesh Kumar Chopra and Abhijeet Srivastava
Chapter 17 ◾ Human Factors in Autonomous Driving Systems: A User Perspective
Neeta Maitre and Neeraj Hanumante
Chapter 18 ◾ Anticipating Legal Issues Associated with the Cyber Security and Privacy of Automated Driving Systems in India
Sujata Bali and Shamneesh Sharma
Chapter 19 ◾ ADAS Technology: A Review on Challenges, Legal Risk Mitigation and Solutions
Madhusmita Mishra and Abhishek Kumar
Section IIIAutonomous Vehicle Applications
Chapter 20 ◾ Localization and Mapping for Autonomous Driving
Sridevi M, Sugirtha T, B Ravi Kiran, and Senthil Yogamani
Chapter 21 ◾ GPS-Based Localization of Autonomous Vehicles
Ashwani Kumar Aggarwal
Chapter 22 ◾ Video-Based Accident Detection of Cars
Earnest Paul Ijjina
Chapter 23 ◾ ADS and AVS: Its Cyber Security and Privacy Legal Issues
Ravishankar CV and Kavitha KS
Chapter 24 ◾ Open-Pit Mine Autonomous Bot
Apoorva Parashar, Anubha Parashar, and Vidyadhar Aski
Descriere
Autonomous Driving and Advanced Driver Assistance Systems (ADAS) outlines the latest research relating 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, computer vision, and more.