Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion''
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arXiv
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| Format: | Preprint |
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2024
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| author | Chen, Yingbing Cheng, Jie Wang, Sheng Liu, Hongji Mei, Xiaodong Yan, Xiaoyang Tang, Mingkai Sun, Ge Wen, Ya Cai, Junwei Xie, Xupeng Gan, Lu Chao, Mandan Xin, Ren Liu, Ming Jiao, Jianhao Liu, Kangcheng Wang, Lujia |
| author_facet | Chen, Yingbing Cheng, Jie Wang, Sheng Liu, Hongji Mei, Xiaodong Yan, Xiaoyang Tang, Mingkai Sun, Ge Wen, Ya Cai, Junwei Xie, Xupeng Gan, Lu Chao, Mandan Xin, Ren Liu, Ming Jiao, Jianhao Liu, Kangcheng Wang, Lujia |
| contents | The rapid evolution of autonomous vehicles (AVs) has significantly influenced global transportation systems. In this context, we present ``Snow Lion'', an autonomous shuttle meticulously designed to revolutionize on-campus transportation, offering a safer and more efficient mobility solution for students, faculty, and visitors. The primary objective of this research is to enhance campus mobility by providing a reliable, efficient, and eco-friendly transportation solution that seamlessly integrates with existing infrastructure and meets the diverse needs of a university setting. To achieve this goal, we delve into the intricacies of the system design, encompassing sensing, perception, localization, planning, and control aspects. We evaluate the autonomous shuttle's performance in real-world scenarios, involving a 1146-kilometer road haul and the transportation of 442 passengers over a two-month period. These experiments demonstrate the effectiveness of our system and offer valuable insights into the intricate process of integrating an autonomous vehicle within campus shuttle operations. Furthermore, a thorough analysis of the lessons derived from this experience furnishes a valuable real-world case study, accompanied by recommendations for future research and development in the field of autonomous driving. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_08939 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion'' Chen, Yingbing Cheng, Jie Wang, Sheng Liu, Hongji Mei, Xiaodong Yan, Xiaoyang Tang, Mingkai Sun, Ge Wen, Ya Cai, Junwei Xie, Xupeng Gan, Lu Chao, Mandan Xin, Ren Liu, Ming Jiao, Jianhao Liu, Kangcheng Wang, Lujia Robotics The rapid evolution of autonomous vehicles (AVs) has significantly influenced global transportation systems. In this context, we present ``Snow Lion'', an autonomous shuttle meticulously designed to revolutionize on-campus transportation, offering a safer and more efficient mobility solution for students, faculty, and visitors. The primary objective of this research is to enhance campus mobility by providing a reliable, efficient, and eco-friendly transportation solution that seamlessly integrates with existing infrastructure and meets the diverse needs of a university setting. To achieve this goal, we delve into the intricacies of the system design, encompassing sensing, perception, localization, planning, and control aspects. We evaluate the autonomous shuttle's performance in real-world scenarios, involving a 1146-kilometer road haul and the transportation of 442 passengers over a two-month period. These experiments demonstrate the effectiveness of our system and offer valuable insights into the intricate process of integrating an autonomous vehicle within campus shuttle operations. Furthermore, a thorough analysis of the lessons derived from this experience furnishes a valuable real-world case study, accompanied by recommendations for future research and development in the field of autonomous driving. |
| title | Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion'' |
| topic | Robotics |
| url | https://arxiv.org/abs/2401.08939 |