Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions
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arXiv
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| Format: | Preprint |
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2023
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| author | Dong, Xingshuai Cappuccio, Max Jassmi, Hamad Al Alnajjar, Fady Debie, Essam Ghasrikhouzani, Milad Lanteri, Alessandro Luqman, Ali McGregor, Tate Molloy, Oleksandra Plebe, Alice Regan, Michael Zhang, Dongmo |
| author_facet | Dong, Xingshuai Cappuccio, Max Jassmi, Hamad Al Alnajjar, Fady Debie, Essam Ghasrikhouzani, Milad Lanteri, Alessandro Luqman, Ali McGregor, Tate Molloy, Oleksandra Plebe, Alice Regan, Michael Zhang, Dongmo |
| contents | Personal autonomous vehicles are cars, trucks and bikes capable of sensing their surrounding environment, planning their route, and driving with little or no involvement of human drivers. Despite the impressive technological achievements made by the industry in recent times and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a 'fully' or 'semi' autonomous mode (autonomy levels 4 and 5) and it is still unclear when such vehicles will eventually be mature enough to receive this kind of approval. The present review adopts an integrative and multidisciplinary approach to investigate the major challenges faced by the automative sector, with the aim to identify the problems that still trouble and delay the commercialization of autonomous vehicles. The review examines the limitations and risks associated with current technologies and the most promising solutions devised by the researchers. This negative assessment methodology is not motivated by pessimism, but by the aspiration to raise critical awareness about the technology's state-of-the-art, the industry's quality standards, and the society's demands and expectations. While the survey primarily focuses on the applications of artificial intelligence for perception and navigation, it also aims to offer an enlarged picture that links the purely technological aspects with the relevant human-centric aspects, including, cultural attitudes, conceptual assumptions, and normative (ethico-legal) frameworks. Examining the broader context serves to highlight problems that have a cross-disciplinary scope and identify solutions that may benefit from a holistic consideration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_09093 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions Dong, Xingshuai Cappuccio, Max Jassmi, Hamad Al Alnajjar, Fady Debie, Essam Ghasrikhouzani, Milad Lanteri, Alessandro Luqman, Ali McGregor, Tate Molloy, Oleksandra Plebe, Alice Regan, Michael Zhang, Dongmo Computer Vision and Pattern Recognition Robotics Personal autonomous vehicles are cars, trucks and bikes capable of sensing their surrounding environment, planning their route, and driving with little or no involvement of human drivers. Despite the impressive technological achievements made by the industry in recent times and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a 'fully' or 'semi' autonomous mode (autonomy levels 4 and 5) and it is still unclear when such vehicles will eventually be mature enough to receive this kind of approval. The present review adopts an integrative and multidisciplinary approach to investigate the major challenges faced by the automative sector, with the aim to identify the problems that still trouble and delay the commercialization of autonomous vehicles. The review examines the limitations and risks associated with current technologies and the most promising solutions devised by the researchers. This negative assessment methodology is not motivated by pessimism, but by the aspiration to raise critical awareness about the technology's state-of-the-art, the industry's quality standards, and the society's demands and expectations. While the survey primarily focuses on the applications of artificial intelligence for perception and navigation, it also aims to offer an enlarged picture that links the purely technological aspects with the relevant human-centric aspects, including, cultural attitudes, conceptual assumptions, and normative (ethico-legal) frameworks. Examining the broader context serves to highlight problems that have a cross-disciplinary scope and identify solutions that may benefit from a holistic consideration. |
| title | Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions |
| topic | Computer Vision and Pattern Recognition Robotics |
| url | https://arxiv.org/abs/2311.09093 |