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Jiayao Shan

4 accepted papers

2026

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving

ICRA 2026poster

Online scene perception and topology reasoning are critical for autonomous vehicles to understand their driving environment, particularly for mapless driving systems that endeavor to reduce reliance on costly High-Definition (HD) maps. However, recent advances in online scene understanding still fac…

2025

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving

RA-L 2025

Online scene perception and topology reasoning are critical for autonomous vehicles to understand their driving environments, particularly for mapless driving systems that endeavor to reduce reliance on costly High-Definition (HD) maps. However, recent advances in online scene understanding still fa

Cited by 6SourceScholar
2022

Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking

RA-L 2022

3D single object tracking is a key task in 3D computer vision. However, the sparsity of point clouds makes it difficult to compute the similarity and locate the object, posing big challenges to the 3D tracker. Previous works tried to solve the problem and improved the tracking performance in some co

Cited by 28SourcecodeScholar
2021

PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds

IROS 2021poster

3D single object tracking is a key issue for robotics. In this paper, we propose a transformer module called Point-Track-Transformer (PTT) for point cloud-based 3D single object tracking. PTT module contains three blocks for feature embedding, position encoding, and self-attention feature computatio…

Cited by 96SourcecodeScholar