5 citations · 6 across the 7 of their papers we have counts for
7 papers · 1 filter
Efficient Minimal Solvers for Relative Pose Estimation in Autonomous Driving Applications
Tao Li, Liang Liu, Jianli Han +1
With the advancement of visual sensing systems, computer vision is playing an increasingly important role in autonomous driving and robot navigation. Relative pose estimation in mu…
DLBAcalib: Robust Extrinsic Calibration for Non-Overlapping LiDARs Based on Dual LBA
Han Ye, Yuqiang Jin, Jinyuan Liu +3
Accurate extrinsic calibration of multiple LiDARs is crucial for improving the foundational performance of three-dimensional (3D) map reconstruction systems. This paper presents a…
MLP-SLAM: Multilayer Perceptron-Based Simultaneous Localization and Mapping
Taozhe Li, Wei Sun
The Visual Simultaneous Localization and Mapping (V-SLAM) system has seen significant development in recent years, demonstrating high precision in environments with limited dynamic…
PLV-IEKF: Consistent Visual-Inertial Odometry using Points, Lines, and Vanishing Points
Tong Hua, Tao Li, Liang Pang +4
In this paper, we propose an Invariant Extended Kalman Filter (IEKF) based Visual-Inertial Odometry (VIO) using multiple features in man-made environments. Conventional EKF-based V…
Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons
Jie Yin, Tao Li, Hao Yin +2
Integrating Global Navigation Satellite Systems (GNSS) in Simultaneous Localization and Mapping (SLAM) systems draws increasing attention to a global and continuous localization so…
PIEKF-VIWO: Visual-Inertial-Wheel Odometry using Partial Invariant Extended Kalman Filter
Tong Hua, Tao Li, Ling Pei
Invariant Extended Kalman Filter (IEKF) has been successfully applied in Visual-inertial Odometry (VIO) as an advanced achievement of Kalman filter, showing great potential in sens…