Benutzer: Gast  Login
Titel:

Computationally Efficient Fail-safe Trajectory Planning for Self-driving Vehicles Using Convex Optimization

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Christian Pek and Matthias Althoff
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
Seiten:
1447-1454
Volltext / DOI:
doi:10.1109/ITSC.2018.8569425
 BibTeX