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Forschung im Ingenieurwesen - The vision of automated driving is to increase both road safety and efficiency, while offering passengers a convenient travel experience. This requires that...  相似文献   
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Forschung im Ingenieurwesen - Im Rahmen des autonomen Fahrens gewinnen Steer-by-Wire (SbW) Systeme wieder an Bedeutung, da ein permanent mitdrehendes Lenkrad im Fahrzeug unerwünscht ist. Zudem...  相似文献   
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This paper presents a novel optimization-based approach to compute time-optimal trajectories for robotic systems operating in an environment with the presence of obstacles under kinodynamic constraints. The proposed approach employs a modified rapid exploring random tree algorithm (RRT) to generate a geometrical sub-optimal path inside a feasible safe region. Subsequently, a trajectory is parametrized by fourth order non-uniform B-splines and is optimized along the path with respect to kinodynamic constraints by an interior point optimizer. The optimization process is performed in the safe region without any further collision checking, which is very effective in extremely confined and complex environments. Finally, the potential and efficiency of the approach is illustrated and compared with the notable RRT* algorithm in state space by numerical simulations.

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