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Wenchao Ding

14 papers hereh-index 151.1k citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author6

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.RO8
  • cs.CV4
  • cs.DC1
  • cs.IT1
same name
  • Wenchao Ding — 22 papers, h 10
  • Wenchao Ding — 18 papers, h 4
  • Wenchao Ding — 4 papers, h 2
  • Wenchao Ding — 3 papers, h 1
  • Wenchao Ding — 1 paper
  • Wenchao Ding — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedPiP: Planning-informed Trajectory Prediction for Autonomous Driving

165 citations · 310 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

CSMapping: Scalable Crowdsourced Semantic Mapping and Topology Inference for Autonomous Driving

Zhijian Qiao, Zehuan Yu, Tong Li +3

Crowdsourcing enables scalable autonomous driving map construction, but low-cost sensor noise hinders quality from improving with data volume. We propose CSMapping, a system that p…

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…

cs.CV2020★ 2 cited

FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications

Jieru Zhao, Tingyuan Liang, Liang Feng +4

Fast and accurate depth estimation, or stereo matching, is essential in embedded stereo vision systems, requiring substantial design effort to achieve an appropriate balance among…

cs.CV2020★ 165 cited

PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Haoran Song, Wenchao Ding, Yuxuan Chen +3

It is critical to predict the motion of surrounding vehicles for self-driving planning, especially in a socially compliant and flexible way. However, future prediction is challengi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.