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Titel:

A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Amit Chaulwar, Michael Botsch, Wolfgang Utschick
Abstract:
Planning of safe trajectories with interventions in both lateral and longitudinal dynamics of vehicles has huge potential for increasing the road traffic safety. Main challenges for the development of such algorithms are the consideration of vehicle nonholonomic constraints and the efficiency in terms of implementation, so that algorithms run in real time in a vehicle. The recently introduced Augmented CL-RRT algorithm is an approach that uses analytical models for trajectory planning based on t...     »
Kongress- / Buchtitel:
IEEE International Conference on Machine Learning and Applications
Jahr:
2016
 BibTeX