Author

Li Wang

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Preprint Oct 2026

Sparse2comm: Towards Robust Cooperative 3D Object Detection

Cooperative perception improves autonomous driving by sharing complementary observations among vehicles and roadside infrastructure for 3D object detection. However, practical deployment is constrained by limited bandwidth and unreliable cooperation, where packet loss, transmission delay, and spatial misalignment joint...

Lei Yang, Bo-Qi Li, Chun-Mian Lin et al. · 0 citations

Preprint Aug 2026

Not All History Helps: Velocity-Aware Selective Memory for Long-Horizon End-to-End Autonomous Driving

Reliable long-horizon planning remains a key challenge in end-to-end autonomous driving. By accounting for future motion evolution and potential consequences, it provides forward-looking guidance for safe and consistent driving in evolving traffic environments. Existing methods use historical planning states as tempora...

Yu-Chen Liu, Zi-Ying Song, Sheng-Kai Zhang et al. · 0 citations

Preprint Aug 2026

MomADv2: Reliable Temporal Memory for End-to-End Autonomous Driving

MomADv2, a reliable state-space memory framework for long-horizon end-to-end autonomous driving, introduces a Selective State-Space Planning Memory Query Module, which filters historical planning queries based on temporal continuity and command consistency, and models the evolution of planning intentions through a sele...

Zi-Ying Song, Sheng-Kai Zhang, Lin Liu et al. · 0 citations