Design Space of Behaviour Planning for Autonomous Driving
Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki
arXiv:1908.07931v19 citations
AI Analysis
It addresses the complexity of design choices in autonomous driving behavior planning, but is incremental as it synthesizes existing approaches.
The paper decomposes the design space of behavior planning for autonomous driving, identifying key trade-offs and future research directions.
We explore the complex design space of behaviour planning for autonomous driving. Design choices that successfully address one aspect of behaviour planning can critically constrain others. To aid the design process, in this work we decompose the design space with respect to important choices arising from the current state of the art approaches, and describe the resulting trade-offs. In doing this, we also identify interesting directions of future work.