20 citations · 45 across the 12 of their papers we have counts for
12 papers
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…
Efficient Minimal Solvers for Visual-Inertial Relative Pose Estimation in Multi-Camera Systems
Tao Li, Zhenbao Yu, Banglei Guan +2
Estimating the relative poses of multi-camera systems is a fundamental problem in computer vision, with critical applications in autonomous vehicles, mobile devices, and unmanned a…
Trifocal Tensor and Relative Pose Estimation with Known Vertical Direction
Tao Li, Zhenbao Yu, Banglei Guan +3
This work presents two novel solvers for estimating the relative poses among views with known vertical directions. The vertical directions of camera views can be easily obtained us…
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…
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots
Jie Yin, Ang Li, Tao Li +2
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera, an…
P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment
Tao Li, Ling Pei, Yan Xiang +4
Light Detection and Ranging (LiDAR) based Simultaneous Localization and Mapping (SLAM) has drawn increasing interests in autonomous driving. However, LiDAR-SLAM suffers from accumu…
Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze
Jinquan Li, Ling Pei, Danping Zou +5
This paper proposes a novel simultaneous localization and mapping (SLAM) approach, namely Attention-SLAM, which simulates human navigation mode by combining a visual saliency model…
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors
Fanyi Xiao, Ling Pei, Lei Chu +4
Sensor-based human activity recognition (HAR) is now a research hotspot in multiple application areas. With the rise of smart wearable devices equipped with inertial measurement un…