Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912484878712832 |
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| author | Hassanin, Mohammed Alsheikh, Mohammad Abu Kuhn, Carlos C. N. Herath, Damith Hoang, Dinh Thai Radwan, Ibrahim |
| author_facet | Hassanin, Mohammed Alsheikh, Mohammad Abu Kuhn, Carlos C. N. Herath, Damith Hoang, Dinh Thai Radwan, Ibrahim |
| contents | The rapid adoption of micromobility solutions, particularly two-wheeled vehicles like e-scooters and e-bikes, has created an urgent need for reliable autonomous riding (AR) technologies. While autonomous driving (AD) systems have matured significantly, AR presents unique challenges due to the inherent instability of two-wheeled platforms, limited size, limited power, and unpredictable environments, which pose very serious concerns about road users' safety. This review provides a comprehensive analysis of AR systems by systematically examining their core components, perception, planning, and control, through the lens of AD technologies. We identify critical gaps in current AR research, including a lack of comprehensive perception systems for various AR tasks, limited industry and government support for such developments, and insufficient attention from the research community. The review analyses the gaps of AR from the perspective of AD to highlight promising research directions, such as multimodal sensor techniques for lightweight platforms and edge deep learning architectures. By synthesising insights from AD research with the specific requirements of AR, this review aims to accelerate the development of safe, efficient, and scalable autonomous riding systems for future urban mobility. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11852 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers Hassanin, Mohammed Alsheikh, Mohammad Abu Kuhn, Carlos C. N. Herath, Damith Hoang, Dinh Thai Radwan, Ibrahim Robotics Computer Vision and Pattern Recognition 93C85 F.2.2; I.2.7 The rapid adoption of micromobility solutions, particularly two-wheeled vehicles like e-scooters and e-bikes, has created an urgent need for reliable autonomous riding (AR) technologies. While autonomous driving (AD) systems have matured significantly, AR presents unique challenges due to the inherent instability of two-wheeled platforms, limited size, limited power, and unpredictable environments, which pose very serious concerns about road users' safety. This review provides a comprehensive analysis of AR systems by systematically examining their core components, perception, planning, and control, through the lens of AD technologies. We identify critical gaps in current AR research, including a lack of comprehensive perception systems for various AR tasks, limited industry and government support for such developments, and insufficient attention from the research community. The review analyses the gaps of AR from the perspective of AD to highlight promising research directions, such as multimodal sensor techniques for lightweight platforms and edge deep learning architectures. By synthesising insights from AD research with the specific requirements of AR, this review aims to accelerate the development of safe, efficient, and scalable autonomous riding systems for future urban mobility. |
| title | Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers |
| topic | Robotics Computer Vision and Pattern Recognition 93C85 F.2.2; I.2.7 |
| url | https://arxiv.org/abs/2507.11852 |