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researcher

Mengmeng Yang

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CV2
  • cs.RO2
ORCID 0000-0002-3294-6437
same name
  • Mengmeng Yang — 5 papers, h 11
  • Mengmeng Yang — 3 papers
  • Mengmeng Yang — 2 papers
  • Mengmeng Yang — 1 paper
  • Mengmeng Yang — 1 paper
  • Mengmeng Yang — 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
20232025
most citedDuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation

6 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025

Residual Learning towards High-fidelity Vehicle Dynamics Modeling with Transformer

Jinyu Miao, Rujun Yan, Bowei Zhang +6

The vehicle dynamics model serves as a vital component of autonomous driving systems, as it describes the temporal changes in vehicle state. In a long period, researchers have made…

cs.CV2025★ 4 cited

LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating

Deguo Xia, Weiming Zhang, Xiyan Liu +6

An up-to-date city-scale lane-level map is an indispensable infrastructure and a key enabling technology for ensuring the safety and user experience of autonomous driving systems.…

cs.CV2024★ 6 cited

DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation

Deguo Xia, Weiming Zhang, Xiyan Liu +5

Generating city-scale lane-level maps faces significant challenges due to the intricate urban environments, such as blurred or absent lane markings. Additionally, a standard lane-l…

cs.RO2023

Poses as Queries: Image-to-LiDAR Map Localization with Transformers

Jinyu Miao, Kun Jiang, Yunlong Wang +6

High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks. Localization with a monocular camera in LiDAR map is a ne…

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