Qinru Li — accepted AI-conference papers

2024

STT: Stateful Tracking with Transformers for Autonomous Driving

Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber +16

ICRA 2024poster

Tracking objects in three-dimensional space is critical for autonomous driving. To ensure safety while driving, the tracker must be able to reliably track objects across frames and accurately estimate their states such as velocity and acceleration in the present. Existing works frequently focus on t…

Cited by 0 Source ↗Scholar ↗

2020

Probabilistic Semantic Mapping for Urban Autonomous Driving Applications

David Paz, Hengyuan Zhang, Qinru Li, Hao Xiang, Henrik I. Christensen

IROS 2020poster

Recent advancements in statistical learning and computational abilities have enabled autonomous vehicle technology to develop at a much faster rate. While many of the architectures previously introduced are capable of operating under highly dynamic environments, many of these are constrained to smal…

Cited by 53 Source ↗Scholar ↗