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Qian Xu

7 papers hereh-index 9314 citations25 works total

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

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO2
  • cs.CR1
same name
  • Qian Xu — 7 papers
  • Qian Xu — 5 papers, h 15
  • Qian Xu — 4 papers, h 3
  • Qian Xu — 3 papers, h 23
  • Qian Xu — 3 papers, h 3
  • Qian Xu — 3 papers, h 3

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
20202026
most citedA Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness

90 citations · 98 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

TwinIR: Coordinated Invisible Dual-Point Attacks on Online HD Map Construction

Haibo Hu, Jianghuai Deng, Chen Tang +3

Online HD map construction is critical to prediction and planning in autonomous driving. We find that existing physical attacks against online map construction are limited by a cro…

cs.CV2026

Robust 4D Driving Scene Reconstruction from Imperfect Visual Priors

Xiaoyun Dong, Qian Xu, Yun Wang +3

Reconstructing 4D driving scenes in the wild (e.g., internet and AI-generated videos) is critical for diverse autonomous driving simulation. While recent Gaussian Scene Graph (GSG)…

cs.CV2025

SATMapTR: Satellite Image Enhanced Online HD Map Construction

Bingyuan Huang, Guanyi Zhao, Qian Xu +3

High-definition (HD) maps are evolving from pre-annotated to real-time construction to better support autonomous driving in diverse scenarios. However, this process is hindered by…

cs.CV2023★ 8 cited

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving

Yang Lou, Qun Song, Qian Xu +2

Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of e…

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