188 citations · 620 across the 44 of their papers we have counts for
14 papers · 1 filter
mmHRI: Towards Privacy-Preserving Human-Robot Interaction with Millimeter-Wave Radar
Junqiao Fan, Yuxuan Hu, Bofan Lyu +7
Assistive robots increasingly operate in many human-centered environments and perform various human-robot interaction (HRI) tasks, such as object delivery. However, most existing H…
AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness
Yizhuo Yang, Shenghai Yuan, Muqing Cao +2
In this study, we introduce AV-PedAware, a self-supervised audio-visual fusion system designed to improve dynamic pedestrian awareness for robotics applications. Pedestrian awarene…
MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception
Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen +8
Perception plays a crucial role in various robot applications. However, existing well-annotated datasets are biased towards autonomous driving scenarios, while unlabelled SLAM data…
MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats
Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen +6
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we i…
Eigen Is All You Need: Efficient Lidar-Inertial Continuous-Time Odometry with Internal Association
Thien-Minh Nguyen, Xinhang Xu, Tongxing Jin +4
In this paper, we propose a continuous-time lidar-inertial odometry (CT-LIO) system named SLICT2, which promotes two main insights. One, contrary to conventional wisdom, CT-LIO alg…
Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning
Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen +4
One-shot LiDAR localization refers to the ability to estimate the robot pose from one single point cloud, which yields significant advantages in initialization and relocalization p…
LIO-GVM: an Accurate, Tightly-Coupled Lidar-Inertial Odometry with Gaussian Voxel Map
Xingyu Ji, Shenghai Yuan, Pengyu Yin +1
This letter presents an accurate and robust Lidar Inertial Odometry framework. We fuse LiDAR scans with IMU data using a tightly-coupled iterative error state Kalman filter for rob…
VR-SLAM: A Visual-Range Simultaneous Localization and Mapping System using Monocular Camera and Ultra-wideband Sensors
Thien Hoang Nguyen, Shenghai Yuan, Lihua Xie
In this work, we propose a simultaneous localization and mapping (SLAM) system using a monocular camera and Ultra-wideband (UWB) sensors. Our system, referred to as VRSLAM, is a mu…
Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
Pengyu Yin, Shenghai Yuan, Haozhi Cao +3
This paper presents Segregator, a global point cloud registration framework that exploits both semantic information and geometric distribution to efficiently build up outlier-robus…
AirVO: An Illumination-Robust Point-Line Visual Odometry
Kuan Xu, Yuefan Hao, Shenghai Yuan +2
This paper proposes an illumination-robust visual odometry (VO) system that incorporates both accelerated learning-based corner point algorithms and an extended line feature algori…
SLICT: Multi-input Multi-scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and Mapping
Thien-Minh Nguyen, Daniel Duberg, Patric Jensfelt +2
While feature association to a global map has significant benefits, to keep the computations from growing exponentially, most lidar-based odometry and mapping methods opt to associ…
Multi-modal Semantic SLAM for Complex Dynamic Environments
Han Wang, Jing Ying Ko, Lihua Xie
Simultaneous Localization and Mapping (SLAM) is one of the most essential techniques in many real-world robotic applications. The assumption of static environments is common in mos…
NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +3
In recent years, autonomous robots have become ubiquitous in research and daily life. Among many factors, public datasets play an important role in the progress of this field, as t…
VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +3
In recent years, Onboard Self Localization (OSL) methods based on cameras or Lidar have achieved many significant progresses. However, some issues such as estimation drift and feat…