Minimally-intrusive navigation in dense crowds with integrated macro and micro-level dynamics

T Zhou, S Qi, G Cen, Z Zha, E Lyu, J Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
In mobile robot navigation, despite advancements, the generation of optimal paths often
disrupts pedestrian areas. To tackle this, we propose three key contributions to improve …

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving

Z Huang, C Tang, C Lv, M Tomizuka… - arXiv preprint arXiv …, 2024 - arxiv.org
Effective decision-making in autonomous driving relies on accurate inference of other traffic
agents' future behaviors. To achieve this, we propose an online learning-based behavior …