3 papers
cs.CV2026
Semantics-Guided Multimodal Masked Autoencoder Pretraining for 3D BEV Object Detection
Prabuddhi Wariyapperuma, Rajitha de Silva, Marc Hanheide +2
Accurate 3D bird's-eye view (BEV) object detection is essential for autonomous driving, and depends strongly on effective multimodal representations from complementary sensors such…
cs.CV2026
Getting the Numbers Right$\unicode{x2014}$Modelling Multi-Class Object Counting in Dense and Varied Scenes
Villanelle O'Reilly, Jonathan Cox, Georgios Leontidis +3
Density map estimation enables accurate object counting in heavily occluded, and densely packed scenes where detection-based counting fails. In multi-class density estimation, clas…
cs.RO2024
Resilient Timed Elastic Band Planner for Collision-Free Navigation in Unknown Environments
Geesara Kulathunga, Abdurrahman Yilmaz, Zhuoling Huang +6
In autonomous navigation, trajectory replanning, refinement, and control command generation are essential for effective motion planning. This paper presents a resilient approach to…