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Artificial Intelligence for Autonomous Vehicles : The Future of Driverless Technology
| Artificial Intelligence for Autonomous Vehicles : The Future of Driverless Technology |
| Autore | Rajendran Sathiyaraj |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 629.2/046028563 |
| Altri autori (Persone) |
SabharwalMunish
HuYu-Chen BalusamyBalamurugan |
| Collana | Advances in Data Engineering and Machine Learning Series |
| Soggetto topico | Automated vehicles - Technological innovations |
| ISBN |
9781119847656
1119847656 9781119847649 1119847648 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Artificial Intelligence in Autonomous Vehicles-A Survey of Trends and Challenges -- 1.1 Introduction -- 1.2 Research Trends of AI for AV -- 1.3 AV-Pipeline Activities -- 1.3.1 Vehicle Detection -- 1.3.2 Rear-End Collision Avoidance -- 1.3.3 Traffic Signal and Sign Recognition -- 1.3.4 Lane Detection and Tracking -- 1.3.5 Pedestrian Detection -- 1.4 Datasets in the Literature of Autonomous Vehicles -- 1.4.1 Stereo and 3D Reconstruction -- 1.4.2 Optical Flow -- 1.4.3 Recognition and Segmentation of Objects -- 1.4.4 Tracking Datasets -- 1.4.5 Datasets for Aerial Images -- 1.4.6 Sensor Synchronization Datasets -- 1.5 Current Industry Standards in AV -- 1.6 Challenges and Opportunities in AV -- 1.6.1 Cost -- 1.6.2 Security Concerns -- 1.6.3 Standards and Regulations -- 1.7 Conclusion -- References -- Chapter 2 Age of Computational AI for Autonomous Vehicles -- 2.1 Introduction -- 2.1.1 Autonomous Vehicles -- 2.1.2 AI in Autonomous Vehicles -- 2.1.2.1 Functioning of AI in Autonomous Vehicles -- 2.2 Autonomy -- 2.2.1 Autonomy Phases -- 2.2.2 Learning Methodologies for Incessant Learning in Real-Life Autonomy Systems -- 2.2.2.1 Supervised Learning -- 2.2.2.2 Unsupervised Learning -- 2.2.2.3 Reinforcement Learning -- 2.2.3 Advancements in Intelligent Vehicles -- 2.2.3.1 Integration of Technologies -- 2.2.3.2 Earlier Application of AI in Automated Driving -- 2.3 Classification of Technological Advances in Vehicle Technology -- 2.4 Vehicle Architecture Adaptation -- 2.5 Future Directions of Autonomous Driving -- 2.6 Conclusion -- References -- Chapter 3 State of the Art of Artificial Intelligence Approaches Toward Driverless Technology -- 3.1 Introduction -- 3.2 Role of AI in Driverless Cars -- 3.2.1 What is Artificial Intelligence? -- 3.2.2 What are Autonomous Vehicles?.
3.2.3 History of Artificial Intelligence in Driverless Cars -- 3.2.4 Advancements Over the Years -- 3.2.5 Driverless Cars and the Technology they are Built Upon -- 3.2.6 Advancement of Algorithms -- 3.2.7 Case Study on Tesla -- 3.3 Conclusion -- References -- Chapter 4 A Survey on Architecture of Autonomous Vehicles -- 4.1 Introduction -- 4.1.1 What is Artificial Intelligence? -- 4.1.2 What are Autonomous Vehicles? -- 4.2 A Study on Technologies Used in AV -- 4.2.1 Artificial Vision -- 4.2.2 Varying Light and Visibility Conditions -- 4.2.3 Scenes with a High Dynamic Range (HDR) -- 4.2.3.1 3 Dimensional Technology -- 4.2.3.2 Emerging Vision Technologies -- 4.2.4 Radar -- 4.2.4.1 Emerging Radar Technologies -- 4.2.5 LiDAR -- 4.2.5.1 Emerging LiDAR Technologies -- 4.3 Analysis on the Architecture of Autonomous Vehicles -- 4.3.1 Hardware Architecture -- 4.3.2 Software Architecture -- 4.4 Analysis on One of the Proposed Architectures -- 4.5 Functional Architecture of Autonomous Vehicles -- 4.6 Challenges in Building the Architecture of Autonomous Vehicles -- 4.6.1 Road Condition -- 4.6.2 Weather Condition -- 4.6.3 Traffic Condition -- 4.6.4 Accident Responsibility -- 4.6.5 Radar Interference -- 4.7 Advantages of Autonomous Vehicles -- 4.8 Use Cases for Autonomous Vehicle Technology -- 4.8.1 Five Use Cases -- 4.9 Future Aspects of Autonomous Vehicles -- 4.9.1 Levels of Vehicle Autonomy -- 4.9.2 Safer Mobility Technology -- 4.9.3 Industry Collaboration and Policy Matters -- 4.10 Summary -- References -- Chapter 5 Autonomous Car Driver Assistance System -- 5.1 Introduction -- 5.1.1 Traffic Video Surveillance -- 5.1.2 Need for the Research Work -- 5.2 Related Work -- 5.3 Methodology -- 5.3.1 Intelligent Driver Assistance System -- 5.3.2 Traffic Police Hand Gesture Region Identification -- 5.3.3 Vehicle Brake and Indicator Light Identification. 5.4 Results and Analysis -- 5.5 Conclusion -- References -- Chapter 6 AI-Powered Drones for Healthcare Applications -- 6.1 Introduction -- 6.1.1 Role of Artificial Intelligence in Drone Technology -- 6.1.2 Unmanned Aerial Vehicle-Drone Technology -- 6.2 Kinds of Drones Used by Medical Professionals -- 6.2.1 Multirotor -- 6.2.2 Only One Rotor -- 6.2.3 Permanent-Wing Drones -- 6.2.4 Drones for Passenger Ambulances -- 6.3 Medical and Public Health Surveillance -- 6.3.1 Telemedicine -- 6.3.2 Drones as Medical Transportation Devices -- 6.3.3 Advanced System for First Aid for the Elderly People -- 6.4 Potential Benefits of Drones in the Healthcare Industry -- 6.4.1 Top Medical Drone Delivery Services -- 6.4.2 Limitations of Drones in Healthcare -- 6.4.3 The Influence of COVID on Drones -- 6.4.4 Limitations of Drone Technology in the Healthcare Industry -- 6.4.4.1 Privacy -- 6.4.4.2 Legal Concerns -- 6.4.4.3 Rapid Transit-One of the Biggest Drawbacks of Drones is Time -- 6.4.4.4 Bugs in the Technology -- 6.4.4.5 Dependence on Weather -- 6.4.4.6 Hackable Drone Technology -- 6.5 Conclusion -- References -- Chapter 7 An Approach for Avoiding Collisions with Obstacles in Order to Enable Autonomous Cars to Travel Through Both Static and Moving Environments -- 7.1 Introduction -- 7.1.1 A Brief Overview of Driverless Cars -- 7.1.2 Objectives -- 7.1.3 Possible Uses for a Car Without a Driver -- 7.2 Related Works -- 7.3 Methodology of the Proposed Work -- 7.4 Experimental Results and Analysis -- 7.5 Results and Analysis -- 7.6 Conclusion -- References -- Chapter 8 Drivers' Emotions' Recognition Using Facial Expression from Live Video Clips in Autonomous Vehicles -- 8.1 Introduction -- 8.2 Related Work -- 8.2.1 Face Detection -- 8.2.2 Facial Emotion Recognition -- 8.3 Proposed Method -- 8.3.1 Dataset -- 8.3.2 Preprocessing -- 8.3.3 Grayscale Equalization. 8.4 Results and Analysis -- 8.5 Conclusions -- References -- Chapter 9 Models for the Driver Assistance System -- 9.1 Introduction -- 9.2 Related Survey -- 9.3 Proposed Methodology -- 9.3.1 Proposed System -- 9.3.2 Data Acquisition -- 9.3.3 Noise Reduction -- 9.3.4 Feature Extraction -- 9.3.5 Histogram of Oriented Gradients -- 9.3.6 Local Binary Pattern -- 9.3.7 Feature Selection -- 9.3.8 Classification -- 9.4 Experimental Study -- 9.4.1 Quantitative Investigation on the NTHU Drowsy Driver Detection Dataset -- 9.5 Conclusion -- References -- Chapter 10 Control of Autonomous Underwater Vehicles -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Control Problem in AUV Control System -- 10.4 Methodology -- 10.5 Results -- References -- Chapter 11 Security and Privacy Issues of AI in Autonomous Vehicles -- 11.1 Introduction -- 11.2 Development of Autonomous Cars with Existing Review -- 11.3 Automation Levels of Autonomous Vehicles -- 11.4 The Architecture of an Autonomous Vehicle -- 11.5 Threat Model -- 11.6 Autonomous Vehicles with AI in IoT-Enabled Environments -- 11.7 Physical Attacks Using AI Against Autonomous Vehicles -- 11.8 AI Cybersecurity Issues for Autonomous Vehicles -- 11.9 Cyberattack Defense Mechanisms -- 11.9.1 Identity-Based Approach -- 11.9.2 Key-Based Solution -- 11.9.3 Trust-Based Solution -- 11.9.4 Solution Based on Behavior Detection -- 11.10 Solution Based on Machine Learning -- 11.11 Conclusion -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910876861403321 |
Rajendran Sathiyaraj
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Automated driving : safer and more efficient driving in the future / / editors, Daniel Watzenig, Martin Horn
| Automated driving : safer and more efficient driving in the future / / editors, Daniel Watzenig, Martin Horn |
| Edizione | [1st edition 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 620 p.) : 255 illus., 171 illus. in color |
| Disciplina | 629.2 |
| Soggetto topico |
Automated guided vehicle systems
Automated vehicles - Technological innovations Embedded computer systems Automotive Engineering Robotics and Automation Transportation Technology and Traffic Engineering |
| ISBN | 3-319-31895-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Introduction -- 1. Introduction to automated driving -- 2. Privacy and security in autonomous vehicles -- 3. Automated driving from the view of technical standards -- Part 2. The importance of control for automated driving -- 4. Survey on control schemes for automated driving on highways -- 5. Path tracking for automated driving: a tutorial on control system formulations and ongoing research -- 6. Vehicle reference lane calculation for autonomous guidance control -- Part 3. Advances in environment sensing, sensor fusion, and perception -- 7. The role of multi-sensor environmental perception for automated driving -- 8. Galileo-based advanced driver assistance systems - key components and development -- 9. Digital maps for driving assistance systems and autonomous driving -- 10. The history – how it all began – radar sensors in cars -- Part 4. In-vehicle architectures and dependable power computing -- 11. System architecture and safety requirements for automated driving -- 12. Advanced system-level design for automated driving -- 13. Systems engineering and architecting for intelligent autonomous sys-tems -- 14. Open dependable power computing platform for automated driving -- Part 5. Active and functional safety in automated driving -- 15. Active safety towards highly automated driving -- 16. Functional safety of automated driving systems: Does ISO 26262 cover the challenges -- Part 6. Validation and testing of automated driving functions -- 17. The new role of road testing for the safety validation of automated vehicles -- 18. Validation of highly automated safe and secure systems -- 19. Testing and validating tactical behavior planning for automated driving -- 20. Safety performance assessment of assisted and automated driving in traffic: simulation as knowledge synthesis -- 21. From controllability to safety in use - safety assessment of driver assistance systems -- 22. Testing autonomous and highly configurable systems – challenges and feasible solutions -- Part 7. A sampling of automated driving research projects and initiatives -- 23. AdaptIVe -- 24. Drive Me -- 25. FUSE -- 26. AutoNet2013 -- 27. ARCHER -- 28. ASSUME -- 29. UFO – Ultraflat overrunable robot for experimental ADAS testing -- 30. ITS Corridor -- 31. European and national initiatives -- 32. ARTEMIS Industrial Association -- 33. ERTRAC -- 34. SafeTRANS -- 35. A3PS. |
| Record Nr. | UNINA-9910254177603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Autonomous Vehicles Technological Trends / / edited by Calin Iclodean, Bogdan Ovidiu Varga, Felix Pfister
| Autonomous Vehicles Technological Trends / / edited by Calin Iclodean, Bogdan Ovidiu Varga, Felix Pfister |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2023 |
| Descrizione fisica | 1 online resource (238 pages) |
| Disciplina | 629.2046 |
| Soggetto topico | Automated vehicles - Technological innovations |
| ISBN | 3-0365-7037-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910683368703321 |
| Basel, Switzerland : , : MDPI, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Self-driving vehicles and enabling technologies / / edited by Marian Gaiceanu
| Self-driving vehicles and enabling technologies / / edited by Marian Gaiceanu |
| Pubbl/distr/stampa | London, England : , : IntechOpen, , [2021] |
| Descrizione fisica | 1 online resource (196 pages) : illustrations |
| Disciplina | 629.2046 |
| Collana | Artificial intelligence |
| Soggetto topico | Automated vehicles - Technological innovations |
| ISBN | 1-83881-072-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910586681403321 |
| London, England : , : IntechOpen, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Mobility : Recent Advances, New Perspectives and Applications / / Arif I. Sarwat, Asadullah Khalid, Ahmed Hasnain Jalal, editors
| Smart Mobility : Recent Advances, New Perspectives and Applications / / Arif I. Sarwat, Asadullah Khalid, Ahmed Hasnain Jalal, editors |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2023 |
| Descrizione fisica | 1 Online-Ressource (226 pages) |
| Disciplina | 629.2 |
| Soggetto topico | Automated vehicles - Technological innovations |
| ISBN | 1-80355-712-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Sizing and Lifecycle Assessment of Electrochemical Batteries for Electric Vehicles and Renewable Energy Storage Systems -- By Arif I. Sarwat, Asadullah Khalid, Ahmed Hasnain Jalal and Shekhar Bhansali -- 2. Tracking Li-Ion Batteries Using Fiber Optic Sensors -- By Micael Nascimento, Carlos Marques and João Pinto -- 3. Investigations of Using an Intelligent ANFIS Modeling Approach for a Li-Ion Battery in MATLAB Implementation: Case Study -- By Roxana-Elena Tudoroiu, Mohammed Zaheeruddin, Nicolae Tudoroiu and Sorin Mihai Radu -- 4. Halide Perovskites as Emerging Anti-Counterfeiting Materials Contribute to Smart Flow of Goods -- By Ziren Zhou, Jin Xie and Yu Hou -- 5. Accidental Injury Analysis and Protection for Automated Vehicles -- By Jay Zhao and Francis Scott Gayzik -- 6. Parent Opinions of Automated Vehicles and Young Driver Mobility -- By Allegra Ayala and Yi-Ching Lee -- 7. IoT-Based Route Guidance Technology for the Visually Impaired in Indoor Area -- By Jong-Gyu Hwang, Tae-Ki An, Kyeong-Hee Kim and Chung-Gi Yu -- 8. Intersection Management, Cybersecurity, and Local Government: ITS Applications, Critical Issues, and Regulatory Schemes -- By Yunfei Hou, Kimberly Collins and Montgomery Van Wart. |
| Record Nr. | UNINA-9910727279603321 |
| London : , : IntechOpen, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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