| 書目名稱 | Decision Making, Planning, and Control Strategies for Intelligent Vehicles | | 編輯 | Haotian Cao,Mingjun Li,Xiaolin Song | | 視頻video | http://file.papertrans.cn/265/264249/264249.mp4 | | 叢書名稱 | Synthesis Lectures on Advances in Automotive Technology | | 圖書封面 |  | | 描述 | .The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system...More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented...As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a me | | 出版日期 | Book 2020 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01506-9 | | isbn_softcover | 978-3-031-00378-3 | | isbn_ebook | 978-3-031-01506-9Series ISSN 2576-8107 Series E-ISSN 2576-8131 | | issn_series | 2576-8107 | | copyright | Springer Nature Switzerland AG 2020 |
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