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Erlong Li

3 accepted papers

2025

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning

AAAI 2025technical

Extracting lane topology from perspective views (PV) is crucial for planning and control in autonomous driving. This approach extracts potential drivable trajectories for self-driving vehicles without relying on high-definition (HD) maps. However, the unordered nature and weak long-range perception…

Cited by 0SourcePDFScholar
2023

Flexible 3D Lane Detection by Hierarchical Shape Matching

AAAI 2023technical

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 demands for precision. In this paper, an end-to-end flexible and hierarchical lane detector is proposed to precisely predi…

2023

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

AAAI 2023technical

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 a laser sensor, provide accurate descriptions of the surrounding environment. The key challenge of HD map production is…

Cited by 13SourcePDFScholar