4 accepted papers
In whole-body mobile manipulation, existing teleoperation systems often suffer from high complexity and cost, while imitation learning approaches are frequently limited by insufficient modeling of long-horizon action sequences and inadequate fusion of multi-receptive-field visual features. These con…
Planning a safe and feasible trajectory for autonomous vehicles in real-time by fully utilizing perceptual information in complex urban environments is challenging. In this letter, we propose a spatio-temporal trajectory planning method based on graph optimization. It efficiently extracts the multi-
Predicting potential collision events is beneficial to ensure the driving safety of autonomous vehicles. Existing graph-based collision prediction methods rely heavily on domain knowledge and predefined semantic relations, limiting their flexibility and adaptability in complex driving scenarios. To
Multi-view image-based BEV (Bird's Eye View) 3D perception is gaining attention as an alternative to highcost LiDAR systems and has achieved notable success. However, there is a significant safety concern for future image-based BEV autonomous driving in low-light conditions (such as nighttime) while