most cited3D Point Cloud Processing and Learning for Autonomous Driving

34 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 4 cited

Siamese Anchor Proposal Network for High-Speed Aerial Tracking

Changhong Fu, Ziang Cao, Yiming Li +2

In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency. Therefore, their real-world deployment on mobile platforms…

cs.CV2020★ 1 cited

Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization

Fangqiang Ding, Changhong Fu, Yiming Li +2

Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to: (i) the kind of size variation they can deal with, (ii) the implementation s…

cs.CV2020★ 4 cited

DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression

Changhong Fu, Fangqiang Ding, Yiming Li +2

Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally d…

cs.CV2020★ 34 cited

3D Point Cloud Processing and Learning for Autonomous Driving

Siheng Chen, Baoan Liu, Chen Feng +2

We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles, light detection and ranging (LiDA…

cs.RO2019★ 3 cited

Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing

Ruoyu Wang, Shiheng Wang, Songyu Du +3

Soft bodies made from flexible and deformable materials are popular in many robotics applications, but their proprioceptive sensing has been a long-standing challenge. In other wor…