Abstract
Contemporary developments of on-board systems for automatic or semiautomatic driving include car collision avoidance systems. For this purpose two approaches based on pursuit-evasion differential games are compared. On a freeway a correct driver (evader) is faced with a wrong-way driver (pursuer), i.e., a person driving on the wrong side of the road. The correct driver tries to avoid collision against all possible maneuvers of the wrong-way driver and additionally tries to stay on the freeway. The representation of the optimal collision avoidance behavior along many optimal paths is used to synthesize an optimal collision avoidance strategy by means of neural networks. Examples of simulations that prove a satisfactory performance of the real-time collision avoidance scheme are presented.
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Lachner, R., Breitner, M.H., Pesch, H.J. (2000). Real-Time Collision Avoidance: Differential Game, Numerical Solution, and Synthesis of Strategies. In: Filar, J.A., Gaitsgory, V., Mizukami, K. (eds) Advances in Dynamic Games and Applications. Annals of the International Society of Dynamic Games, vol 5. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1336-9_6
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