activity
20222025
most citedA Survey on Multimodal Large Language Models for Autonomous Driving

27 citations · 34 across the 6 of their papers we have counts for

collaborators

7 papers

astro-ph.IM2025★ 1 cited

AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

Jinghang Shi, Xiaoyu Tang, Yang Huang +4

Astronomical image interpretation presents a significant challenge for applying multimodal large language models (MLLMs) to specialized scientific tasks. Existing benchmarks focus…

cs.CV2025

TopoStreamer: Temporal Lane Segment Topology Reasoning in Autonomous Driving

Yiming Yang, Yueru Luo, Bingkun He +8

Lane segment topology reasoning constructs a comprehensive road network by capturing the topological relationships between lane segments and their semantic types. This enables end-…

cs.CV2025

Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes

Yueru Luo, Changqing Zhou, Yiming Yang +4

Road topology reasoning is fundamental for autonomous driving, requiring both accurate perception of road elements and understanding of their complex connectivity, including lane c…

cs.CV2025★ 2 cited

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning

Yiming Yang, Yueru Luo, Bingkun He +5

Extracting lane topology from perspective views (PV) is crucial for planning and control in autonomous driving. This approach extracts potential drivable trajectories for self-driv…

cs.CV2024★ 3 cited

Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching

Zhihao Guan, Ruixin Liu, Zejian Yuan +6

As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict de…

cs.AI2023★ 27 cited

A Survey on Multimodal Large Language Models for Autonomous Driving

Can Cui, Yunsheng Ma, Xu Cao +18

With the emergence of Large Language Models (LLMs) and Vision Foundation Models (VFMs), multimodal AI systems benefiting from large models have the potential to equally perceive th…

cs.CV2022★ 1 cited

THMA: Tencent HD Map AI System for Creating HD Map Annotations

Kun Tang, Xu Cao, Zhipeng Cao +8

Nowadays, autonomous vehicle technology is becoming more and more mature. Critical to progress and safety, high-definition (HD) maps, a type of centimeter-level map collected using…