6 citations · 20 across the 23 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
Learning Orientation Field for OSM-Guided Autonomous Navigation
Yuming Huang, Wei Gao, Zhiyuan Zhang +4
OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, ex…
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…
UMAD: University of Macau Anomaly Detection Benchmark Dataset
Dong Li, Lineng Chen, Cheng-Zhong Xu +1
Anomaly detection is critical in surveillance systems and patrol robots by identifying anomalous regions in images for early warning. Depending on whether reference data are utiliz…
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…
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…
Graph Gain: A Concave-Hull Based Volumetric Gain for Robotic Exploration
Zezhou Sun, Huajun Liu, Chengzhong Xu +1
The existing volumetric gain for robotic exploration is calculated in the 3D occupancy map, while the sampling-based exploration method is extended in the reachable (free) space. T…
Ada-Detector: Adaptive Frontier Detector for Rapid Exploration
Zezhou Sun, Banghe Wu, Chengzhong Xu +1
In this paper, we propose an efficient frontier detector method based on adaptive Rapidly-exploring Random Tree (RRT) for autonomous robot exploration. Robots can achieve real-time…
LiDAR Road-Atlas: An Efficient Map Representation for General 3D Urban Environment
Banghe Wu, Chengzhong Xu, Hui Kong
In this work, we propose the LiDAR Road-Atlas, a compactable and efficient 3D map representation, for autonomous robot or vehicle navigation in general urban environment. The LiDAR…
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments
Yandong Liu, Chengzhong Xu, Hui Kong
Existing imitation learning methods suffer from low efficiency and generalization ability when facing the road option problem in an urban environment. In this paper, we propose a y…
LiDAR Iris for Loop-Closure Detection
Ying Wang, Zezhou Sun, Cheng-Zhong Xu +3
In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection. A binary signature image can be obtained fo…