most cited3D Point Cloud Processing and Learning for Autonomous Driving

34 citations · 39 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2020

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.CV20201 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.CV20204 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.CV202034 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

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…