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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Christian Pek and Matthias Althoff 
Titel:
Computationally Efficient Fail-safe Trajectory Planning for Self-driving Vehicles Using Convex Optimization 
Abstract:
Ensuring the safety of self-driving vehicles is a challenging task, especially if other traffic participants severely deviate from the predicted behavior. One solution is to ensure that the vehicle is able to execute a collision-free evasive trajectory at any time. However, a fast method to plan these so-called fail-safe trajectories does not yet exist. Our new approach plans fail-safe trajectories in arbitrary traffic scenarios by incorporating convex optimization techniques. By integrating saf...    »
 
Kongress- / Buchtitel:
Proc. of the IEEE Int. Conf. on Intelligent Transportation Systems 
Jahr:
2018