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20232026
most cited4D Millimeter-Wave Radar in Autonomous Driving: A Survey

13 citations · 20 across the 16 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025★ 1 cited

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.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…

cs.RO2025

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.RO2025

ESCoT: An Enhanced Step-based Coordinate Trajectory Planning Method for Multiple Car-like Robots

Junkai Jiang, Yihe Chen, Yibin Yang +3

Multi-vehicle trajectory planning (MVTP) is one of the key challenges in multi-robot systems (MRSs) and has broad applications across various fields. This paper presents ESCoT, an…

cs.RO2025

CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding

Junkai Jiang, Ruochen Li, Yibin Yang +4

This paper addresses a generalization problem of Multi-Agent Pathfinding (MAPF), called Collaborative Task Sequencing - Multi-Agent Pathfinding (CTS-MAPF), where agents must plan c…

cs.CV2025★ 2 cited

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…