EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866915060817854464 |
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| author | Tian, Zhaofeng Xia, Lichen Shi, Weisong |
| author_facet | Tian, Zhaofeng Xia, Lichen Shi, Weisong |
| contents | Autonomous driving lacks strong proof of energy efficiency with the energy-model-agnostic trajectory planning. To achieve an energy consumption model-aware trajectory planning for autonomous driving, this study proposes an online nonlinear programming method that optimizes the polynomial trajectories generated by the Frenet polynomial method while considering both traffic trajectories and road slope prediction. This study further investigates how the energy model can be leveraged in different driving conditions to achieve higher energy efficiency. Case studies, quantitative studies, and ablation studies are conducted in a sedan and truck model to prove the effectiveness of the method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_08830 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving Tian, Zhaofeng Xia, Lichen Shi, Weisong Robotics Systems and Control Autonomous driving lacks strong proof of energy efficiency with the energy-model-agnostic trajectory planning. To achieve an energy consumption model-aware trajectory planning for autonomous driving, this study proposes an online nonlinear programming method that optimizes the polynomial trajectories generated by the Frenet polynomial method while considering both traffic trajectories and road slope prediction. This study further investigates how the energy model can be leveraged in different driving conditions to achieve higher energy efficiency. Case studies, quantitative studies, and ablation studies are conducted in a sedan and truck model to prove the effectiveness of the method. |
| title | EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2412.08830 |