Publications
2024
-
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation
This paper introduces LiteVLoc, a hierarchical visual localization framework using lightweight topometric maps for efficient, precise camera pose estimation, validated through experiments in simulated and real-world scenarios.
Under Review, 2024 -
VirCap: Virtual Camera Exposure Control Based on Image Photometric Synthesis for Visual SLAM ApplicationIEEE/ASME Transactions on Mechatronics, 2024
-
Enhancing Campus Mobility: Achievements and Challenges of the Snow Lion Autonomous ShuttleIEEE Robotics & Automation Magazine, 2024
-
General Place Recognition Survey: Towards Real-World Autonomy
We provide a comprehensive review of the current SOTA advancements in place recognition, alongside the remaining challenges, and underscore its broad applications in robotics.
Conditionally Accepted by IEEE Transactions on Robotics, 2024 -
FusionPortableV2: A Unified Multi-Sensor Dataset for Generalized SLAM Across Diverse Platforms and Scalable Environments
We propose a multi-sensor dataset that addresses the generalization challenge of SLAM algorithms by providing diverse sensor data, motion patterns, and environmental scenarios across 27 sequences from four platforms, totaling 38.7km. The dataset, which includes GT trajectories and RGB point cloud maps, is used to evaluate SOTA SLAM algorithms and explore its potential in other perception tasks, demonstrating its broad applicability in advancing robotic research.
International Journal of Robotics Research (IJRR), 2024 -
Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
We proposed an online and large-scale semantic mapping system that uses LiDAR-Visual-Inertial sensing to create a real-time global mesh map of outdoor environments, achieving high-speed map update and integrating the map into a real-world vehicle navigation system.
IEEE Transactions on Automation Science and Engineering, 2024
2023
-
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With a Globally Optimal Solution
We proposed an automatic checkerboard-based approach for calibrating extrinsics between a LiDAR and a frame/event camera by introducing a unified globally optimal solution for calibration optimization.
IEEE/ASME Transactions on Mechatronics, 2023
2022
2021
2020
-
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving
We proposed a two-stage and uncertainty-aware multi-LiDAR 3D object detection system that fuses multi-LiDAR data and explicitly addresses extrinsic perturbation on extrinsics.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
2019
-
Automatic Calibration of Multiple 3D LiDARs in Outdoor Environment
We proposed an automatic multi-LiDAR calibration system that requires no calibration target or manual initialization, achieving high reliability and accuracy with minimal rotation and translation errors for mobile platforms.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019