Tong Shi

2 accepted papers

2024

Point-Line LIVO Using Patch-Based Gradient Optimization for Degenerate Scenes

Tong Shi, Kun Qian, Yixin Fang, Yun Zhang, Hai Yu

RA-L 2024

Simultaneous localization and mapping based on 3-D light detection and ranging (LiDAR) tends to degenerate in structural-less environments, leading to a distinct reduction in localization accuracy and mapping precision. This article proposes a point-line LiDAR-visual-inertial odometry (PL-LIVO) base

Cited by 2 Source ↗Scholar ↗

2023

EPLF-VINS: Real-Time Monocular Visual-Inertial SLAM With Efficient Point-Line Flow Features

Lei Xu, Hesheng Yin, Tong Shi, Di Jiang, Bo Huang

RA-L 2023

This letter introduces an efficient visual-inertial simultaneous localization and mapping (SLAM) method using point and line features. Currently, point-based SLAM methods do not perform well in scenarios such as weak textures and motion blur. Many researchers have noticed the excellent properties of

Cited by 58 Source ↗Scholar ↗