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Version vom 6. August 2021, 11:48 Uhr

Neuigkeit vom 21. September 2020

Best Dissertation Award - IEEE ITS Society

Holger Banzhaf wurde für seine Dissertation Nonholonomic Motion Planning for Automated Vehicles in Dense Scenariosmit dem Best Dissertation Award ausgezeichnet.

Abstract

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 |Titel DE=Best Dissertation Award - IEEE ITS Society
 |Titel EN=Best Dissertation Award - IEEE ITS Society
+|Beschreibung DE='''Holger Banzhaf wurde für seine Dissertation ''Nonholonomic Motion Planning for Automated Vehicles in Dense Scenarios''mit dem Best Dissertation Award ausgezeichnet.'''<br><br>'''Abstract'''<br>
+|Beschreibung EN='''Holger Banzhaf was awarded with the Best Dissertation Award for his dissertation named ''Nonholonomic Motion Planning for Automated Vehicles in Dense Scenarios'''''<br><br>'''Abstract'''<br>Motion planning for car-like robots is one of the major challenges in automated driving. It requires to solve a two-point boundary value problem (BVP) in real time while taking into account the nonholonomic constraints of the vehicle and the obstacles in the non-convex environment. This paper introduces Hybrid Curvature Rate (HCR) and Continuous Curvature Rate (CCR) Steer: Two novel steering functions for car-like robots that compute a curvature rate continuous solution of the two-point BVP. Hard constraints on the maximum curvature, maximum curvature rate, and maximum curvature acceleration are satisfied resulting in directly driveable G3 continuous paths. The presented steering functions are benchmarked in terms of computation time and path length against its G1 and G2 continuous counterparts, namely Dubins, Reeds-Shepp, Hybrid Curvature, and Continuous Curvature Steer. It is shown that curvature rate continuity can be achieved with only small computational overhead. The generic motion planner Bidirectional RRT* is finally used to present the effectiveness of HCR and CCR Steer in three challenging automated driving scenarios.
 |Datum=2020/09/21
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