2026
BEV-OSP: Obstacle State Prediction in Bird's-Eye View to Enable Obstacle Avoidance and Navigation in Dynamic Environments
RA-L 2026
Despite the prevalence of deep reinforcement learning (DRL) for navigation in dynamic environments, existing end-to-end DRL methods still struggle to effectively balance global planning with local obstacle avoidance and to perceive the dynamics of obstacles. Meanwhile, external detection methods are