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Titlebook: Decision Making, Planning, and Control Strategies for Intelligent Vehicles; Haotian Cao,Mingjun Li,Xiaolin Song Book 2020 Springer Nature

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發(fā)表于 2025-3-21 16:20:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Decision Making, Planning, and Control Strategies for Intelligent Vehicles
編輯Haotian Cao,Mingjun Li,Xiaolin Song
視頻videohttp://file.papertrans.cn/265/264249/264249.mp4
叢書名稱Synthesis Lectures on Advances in Automotive Technology
圖書封面Titlebook: Decision Making, Planning, and Control Strategies for Intelligent Vehicles;  Haotian Cao,Mingjun Li,Xiaolin Song Book 2020 Springer Nature
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
doihttps://doi.org/10.1007/978-3-031-01506-9
isbn_softcover978-3-031-00378-3
isbn_ebook978-3-031-01506-9Series ISSN 2576-8107 Series E-ISSN 2576-8131
issn_series 2576-8107
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Synthesis Lectures on Advances in Automotive Technologyhttp://image.papertrans.cn/d/image/264249.jpg
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Kreuztabellen und Kontingenzanalyseecoming more and more serious. According to data from the World Health Organization (WHO), road traffic crashes result in the deaths of approximately 1.35 million people around the world each year and leaves between 20 and 50 million people with non-fatal injuries [1]. The WHO predicts that road tra
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Nützliche Software und Fundorte für Datenving risk, and the performance index of the control system will be considered for the design of the cooperative driving strategy. The driving intention experiment and two machine learning methods (e.g., SVM and iMLCU) are introduced to recognize the driver’s driving intention. Driving safety field a
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978-3-031-00378-3Springer Nature Switzerland AG 2020
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Decision Making, Planning, and Control Strategies for Intelligent Vehicles
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