The electric bicycle is one of the most important means of transportation in China, and it has a huge number of electric bicycle users. However, there are a lot of deaths caused by electric bicycle traffic accidents every year. In this paper, we design a driver-assisted electric bicycle and motion planning based on the iLQR algorithm that can avoid obstacles. The study provides a solution for the future generation of electric bicycles that can respond to emergencies and reduce accidents to improve travel safety.


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    Titel :

    Kinematics-Based Vehicle Trajectory Optimization for Obstacle Avoidance and Goal Satisfaction


    Beteiligte:
    Shi, Mulang (Autor:in)


    Erscheinungsdatum :

    01.08.2022


    Format / Umfang :

    670983 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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