188 citations · 189 across the 3 of their papers we have counts for
7 papers
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…
DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation
Kun Cao, Muqing Cao, Shenghai Yuan +1
This paper introduces a differential dynamic programming (DDP) based framework for polynomial trajectory generation for differentially flat systems. In particular, instead of using…
VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +2
In this paper, we propose a tightly-coupled, multi-modal simultaneous localization and mapping (SLAM) framework, integrating an extensive set of sensors: IMU, cameras, multiple lid…
MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao +3
In this letter we investigate a tightly coupled Lidar-Inertia Odometry and Mapping (LIOM) scheme, with the capability to incorporate multiple lidars with complementary field of vie…
Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection
Yang Lyu, Muqing Cao, Shenghai Yuan +1
Unmanned Aerial Vehicle (UAV) has already demonstrated its potential in many civilian applications, and the façade inspection is among the most promising ones. In this paper, we fo…
LIRO: Tightly Coupled Lidar-Inertia-Ranging Odometry
Thien-Minh Nguyen, Muqing Cao, Shenghai Yuan +3
In recent years, thanks to the continuously reduced cost and weight of 3D Lidar, the applications of this type of sensor in robotics community have become increasingly popular. Des…