101 citations · 232 across the 9 of their papers we have counts for
10 papers
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
Hang Su, Yunlong Feng, Daniel Gehrig +4
Structure and continuous motion estimation from point correspondences is a fundamental problem in computer vision that has been powered by well-known algorithms such as the familia…
Motion-Aware Optical Camera Communication with Event Cameras
Hang Su, Ling Gao, Tao Liu +1
As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. T…
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
Ling Gao, Daniel Gehrig, Hang Su +2
Event cameras respond primarily to edges--formed by strong gradients--and are thus particularly well-suited for line-based motion estimation. Recent work has shown that events gene…
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation
Ling Gao, Hang Su, Daniel Gehrig +3
Event-based cameras are ideal for line-based motion estimation, since they predominantly respond to edges in the scene. However, accurately determining the camera displacement base…
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM
Ling Gao, Yuxuan Liang, Jiaqi Yang +4
Event cameras have recently gained in popularity as they hold strong potential to complement regular cameras in situations of high dynamics or challenging illumination. An importan…
Globally-Optimal Contrast Maximisation for Event Cameras
Xin Peng, Ling Gao, Yifu Wang +1
Event cameras are bio-inspired sensors that perform well in challenging illumination conditions and have high temporal resolution. However, their concept is fundamentally different…
Globally-Optimal Event Camera Motion Estimation
Xin Peng, Yifu Wang, Ling Gao +1
Event cameras are bio-inspired sensors that perform well in HDR conditions and have high temporal resolution. However, different from traditional frame-based cameras, event cameras…
FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization
Ling Gao, Laurent Kneip
We present a novel framework for floor plan-based, full six degree-of-freedom LiDAR localization. Our approach relies on robust ceiling and ground plane detection, which solves par…
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles
Ling Gao, Junyan Su, Jiadi Cui +3
The motion of planar ground vehicles is often non-holonomic, and as a result may be modelled by the 2 DoF Ackermann steering model. We analyse the feasibility of estimating such mo…
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization
Yifu Wang, Jiaqi Yang, Xin Peng +5
We present a new solution to tracking and mapping with an event camera. The motion of the camera contains both rotation and translation, and the displacements happen in an arbitrar…