43 citations · 48 across the 14 of their papers we have counts for
4 papers · 1 filter
Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera
Yu Hu, Yuang Zhang, Yunlong Song +6
Optical flow captures the motion of pixels in an image sequence over time, providing information about movement, depth, and environmental structure. Flying insects utilize this inf…
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
Yuang Zhang, Yu Hu, Yunlong Song +2
Swarm navigation in cluttered environments is a grand challenge in robotics. This work combines deep learning with first-principle physics through differentiable simulation to enab…
Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion
Ang Li, Anning Hu, Wei Xi +2
Accurate and dense depth estimation with stereo cameras and LiDAR is an important task for automatic driving and robotic perception. While sparse hints from LiDAR points have impro…
Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases
Jie Yin, Ang Li, Wei Xi +2
We introduce Ground-Fusion, a low-cost sensor fusion simultaneous localization and mapping (SLAM) system for ground vehicles. Our system features efficient initialization, effectiv…