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

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Book 2020ficial 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

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2576-8107 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 environ

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Nützliche Software und Fundorte für Datennd TTC-based evaluation methods are adopted to assess the driving risk. There are two cooperative driving strategies based on the game theory and fuzzy control theory will be introduced to realize human-automation cooperative driving and help the vehicle safely avoid obstacles.

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Datenanalyse mit SPSS für Fortgeschrittenerealized by the convex optimization or multi-objects optimization based on high-order polynomials or natural cubic splines, while the MPC method will be developed for the speed planning in car-following scenarios.

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Introduction,fic accidents, causing more than 63,000 deaths in 2018 [3]. While the situation in the United States is much less severe, the number of traffic fatalities in 2016 was only 22,000 with 220 million passenger cars [4]. Therefore, concerns about transport safety have been raised and are a focus of governments, industries, and academia worldwide.