activity
20182021
most citedPiP: Planning-informed Trajectory Prediction for Autonomous Driving

165 citations · 421 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 8 cited

MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion

Weihao Yuan, Rui Fan, Michael Yu Wang +1

We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation. Unlike multi-view stereo with images captured at unconstra…

cs.RO2021★ 5 cited

Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor

Chohei Pang, Kinwing Mak, Yazhan Zhang +3

Monitoring the state of contact is essential for robotic devices, especially grippers that implement gecko-inspired adhesives where intimate contact is crucial for a firm attachmen…

math.NA2021★ 25 cited

Elastically-isotropic open-cell minimal surface shell lattices with superior stiffness via variable thickness design

Qingping Ma, Lei Zhang, Junhao Ding +6

Triply periodic minimal surface (TPMS) shell lattices are attracting increasingly attention due to their unique combination of geometric and mechanical properties, and their open-c…

cs.CV2021★ 3 cited

Stereo Matching by Self-supervision of Multiscopic Vision

Weihao Yuan, Yazhan Zhang, Bingkun Wu +4

Self-supervised learning for depth estimation possesses several advantages over supervised learning. The benefits of no need for ground-truth depth, online fine-tuning, and better…

cs.RO2021★ 2 cited

A Tactile Sensing Foot for Single Robot Leg Stabilization

Guanlan Zhang, Yipai Du, Yazhan Zhan +1

Tactile sensing on human feet is crucial for motion control, however, has not been explored in robotic counterparts. This work is dedicated to endowing tactile sensing to legged ro…

cs.CV2021★ 60 cited

Learning to Predict Vehicle Trajectories with Model-based Planning

Haoran Song, Di Luan, Wenchao Ding +2

Predicting the future trajectories of on-road vehicles is critical for autonomous driving. In this paper, we introduce a novel prediction framework called PRIME, which stands for P…