9 papers
Event-based SLAM Benchmark for High-Speed Maneuvers
Sheng Zhong, Junkai Niu, Guillermo Gallego +7
Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to ha…
Toward Deep Representation Learning for Event-Enhanced Visual Autonomous Perception: the eAP Dataset
Jinghang Li, Shichao Li, Qing Lian +3
Recent visual autonomous perception systems achieve remarkable performances with deep representation learning. However, they fail in scenarios with challenging illumination.While e…
ODD-SEC: Onboard Drone Detection with a Spinning Event Camera
Kuan Dai, Hongxin Zhang, Sheng Zhong +1
The rapid proliferation of drones requires balancing innovation with regulation. To address security and privacy concerns, techniques for drone detection have attracted significant…
LEAR: Learning Edge-Aware Representations for Event-to-LiDAR Localization
Kuangyi Chen, Jun Zhang, Yuxi Hu +2
Event cameras offer high-temporal-resolution sensing that remains reliable under high-speed motion and challenging lighting, making them promising for localization from LiDAR point…
Real-time Motion Segmentation with Event-based Normal Flow
Sheng Zhong, Zhongyang Ren, Xiya Zhu +3
Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to ha…
MemGS: Memory-Efficient Gaussian Splatting for Real-Time SLAM
Yinlong Bai, Hongxin Zhang, Sheng Zhong +4
Recent advancements in 3D Gaussian Splatting (3DGS) have made a significant impact on rendering and reconstruction techniques. Current research predominantly focuses on improving r…