activity
20242026
most citedFMCW-LIO: A Doppler LiDAR-Inertial Odometry

14 citations · 17 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO2026

DiFF: Doppler-informed Flow Matching for Human Motion Flow

Kai Wang, Mingle Zhao

Perceiving human motion via privacy-preserving 4D millimeter-wave (mmWave) radar is critical for next-generation human-robot interaction (HRI), where point cloud scene flow serves…

cs.RO2026★ 3 cited

Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems

Mingle Zhao, Jiahao Wang, Tianxiao Gao +2

Robust initialization is crucial for online systems. In the letter, a high-frequency and resilient initialization framework is designed for LiDAR-inertial systems, leveraging both…

cs.RO2026★ 14 cited

FMCW-LIO: A Doppler LiDAR-Inertial Odometry

Mingle Zhao, Jiahao Wang, Tianxiao Gao +2

Conventional LiDAR-inertial odometry (LIO) or simultaneous localization and mapping (SLAM) methods heavily rely on geometric features of environments, as LiDARs primarily provide r…

cs.RO2026

Cyclops: LiDAR as a Camera That Dreams in Color

Wei Gao, Jian Shu, Mingle Zhao +4

Conventionally, robotic perception relies heavily on cameras due to the rich semantic texture they provide. However, their performance degrades significantly in low-light or high-d…

cs.RO2025

DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments

Wei Zuo, Zeyi Ren, Chengyang Li +7

Existing motion planning methods often struggle with rapid-motion obstacles due to an insufficient understanding of environmental changes. To address this, we propose integrating m…

cs.RO2025

Super LiDAR Intensity for Robotic Perception

Wei Gao, Jie Zhang, Mingle Zhao +6

Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, whic…

cs.RO2025

Night-Voyager: Consistent and Efficient Nocturnal Vision-Aided State Estimation in Object Maps

Tianxiao Gao, Mingle Zhao, Chengzhong Xu +1

Accurate and robust state estimation at nighttime is essential for autonomous robotic navigation to achieve nocturnal or round-the-clock tasks. An intuitive question arises: Can lo…

cs.RO2024

Active Loop Closure for OSM-guided Robotic Mapping in Large-Scale Urban Environments

Wei Gao, Zezhou Sun, Mingle Zhao +2

The autonomous mapping of large-scale urban scenes presents significant challenges for autonomous robots. To mitigate the challenges, global planning, such as utilizing prior GPS t…

cs.RO2024

Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering

Tianxiao Gao, Mingle Zhao, Chengzhong Xu +1

Vision-aided localization for low-cost mobile robots in diverse environments has attracted widespread attention recently. Although many current systems are applicable in daytime en…