Two-step dynamic obstacle avoidance

Dynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step architecture for handling DOA tasks by combining supervised and reinforcement learning (RL). In the first step, we introduce...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Hart, Fabian, Waltz, Martin, Okhrin, Ostap
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Machine learning Obstacle avoidance Recurrent neural networks Risk Situational awareness Stochastic processes
Online-Zugang:	Volltext
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