collaborators

11 papers

cs.CV2026

Long-SCOPE: Fully Sparse Long-Range Cooperative 3D Perception

Jiahao Wang, Zikun Xu, Yuner Zhang +8

Cooperative 3D perception via Vehicle-to-Everything communication is a promising paradigm for enhancing autonomous driving, offering extended sensing horizons and occlusion resolut…

cs.RO2026

CTS-PLL: A Robust and Anytime Framework for Collaborative Task Sequencing and Multi-Agent Path Finding

Junkai Jiang, Yitao Xu, Ruochen Li +2

The Collaborative Task Sequencing and Multi-Agent Path Finding (CTS-MAPF) problem requires agents to accomplish sequences of tasks while avoiding collisions, posing significant cha…

cs.RO2026

Equi-RO: A 4D mmWave Radar Odometry via Equivariant Networks

Zeyu Han, Shuocheng Yang, Minghan Zhu +4

Autonomous vehicles and robots rely on accurate odometry estimation in GPS-denied environments. While LiDARs and cameras struggle under extreme weather, 4D mmWave radar emerges as…

cs.CV2025

SparseCoop: Cooperative Perception with Kinematic-Grounded Queries

Jiahao Wang, Zhongwei Jiang, Wenchao Sun +8

Cooperative perception is critical for autonomous driving, overcoming the inherent limitations of a single vehicle, such as occlusions and constrained fields-of-view. However, curr…

cs.CV2025

Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark

Jiahao Wang, Xiangyu Cao, Jiaru Zhong +7

While cooperative perception can overcome the limitations of single-vehicle systems, the practical implementation of vehicle-to-vehicle and vehicle-to-infrastructure systems is oft…

cs.RO2025

RaFD: Flow-Guided Radar Detection for Robust Autonomous Driving

Shuocheng Yang, Zikun Xu, Jiahao Wang +3

Radar has shown strong potential for robust perception in autonomous driving; however, raw radar images are frequently degraded by noise and "ghost" artifacts, making object detect…