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J. Lu

4 papers hereh-index 8214 citations11 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.RO2
same name
  • J. Lu — 171 papers, h 49
  • J. Lu — 83 papers
  • J. Lu — 50 papers
  • J. Lu — 20 papers, h 16
  • J. Lu — 18 papers, h 24
  • J. Lu — 14 papers, h 18

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

most citedMulti-modal Fusion Technology based on Vehicle Information: A Survey

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

DiffPixelFormer: Differential Pixel-Aware Transformer for RGB-D Indoor Scene Segmentation

Yan Gong, Jianli Lu, Yongsheng Gao +3

Indoor semantic segmentation is fundamental to computer vision and robotics, supporting applications such as autonomous navigation, augmented reality, and smart environments. Altho…

cs.RO2025★ 1 cited

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey

Yan Gong, Naibang Wang, Jianli Lu +13

Bird's-Eye-View (BEV) perception has become a foundational paradigm in autonomous driving, enabling unified spatial representations that support robust multi-sensor fusion and mult…

cs.CV2025

Collaborative Perception Datasets for Autonomous Driving: A Review

Naibang Wang, Deyong Shang, Yan Gong +6

Collaborative perception has attracted growing interest from academia and industry due to its potential to enhance perception accuracy, safety, and robustness in autonomous driving…

cs.RO2022★ 1 cited

Multi-modal Fusion Technology based on Vehicle Information: A Survey

Yan Gong, Jianli Lu, Jiayi Wu +1

Multi-modal fusion is a basic task of autonomous driving system perception, which has attracted many scholars' interest in recent years. The current multi-modal fusion methods main…

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