5 papers
A Height-Constrained 2-Point Minimal Solver for Pose Estimation from Active LED Markers with Event Cameras
Runze Yuan, Alexander Kappler, Jun Zhang +5
In many autonomous applications requiring real-time localization, active marker-based systems are preferred due to their low latency and ease of deployment compared to computationa…
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…
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration
Kuangyi Chen, Jun Zhang, Friedrich Fraundorfer
Event cameras are bio-inspired sensors with some notable features, including high dynamic range and low latency, which makes them exceptionally suitable for perception in challengi…
FE-DeTr: Keypoint Detection and Tracking in Low-quality Image Frames with Events
Xiangyuan Wang, Kuangyi Chen, Wen Yang +3
Keypoint detection and tracking in traditional image frames are often compromised by image quality issues such as motion blur and extreme lighting conditions. Event cameras offer p…
2D-3D Pose Tracking with Multi-View Constraints
Huai Yu, Kuangyi Chen, Wen Yang +2
Camera localization in 3D LiDAR maps has gained increasing attention due to its promising ability to handle complex scenarios, surpassing the limitations of visual-only localizatio…