Tao Li

Orcid: 0000-0002-3421-0714

According to our database1, Tao Li authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
SVA: A Street-View-Aided GNSS Positioning Framework With 2DSDM and Likelihood Road for NLOS/Multipath Mitigation.
IEEE Robotics Autom. Lett., August, 2025

In-P<sup>3</sup>VINS: Tightly-Coupled PPP/INS/Visual SLAM Based on Invariant Optimization Approach.
IEEE Trans. Intell. Transp. Syst., July, 2025

DLBAcalib: Robust Extrinsic Calibration for Non-Overlapping LiDARs Based on Dual LBA.
CoRR, July, 2025

2024
Sky-GVINS: a sky-segmentation aided GNSS-Visual-Inertial system for robust navigation in urban canyons.
Geo spatial Inf. Sci., November, 2024

2023
P<sup>3</sup>-LINS: Tightly Coupled PPP-GNSS/INS/LiDAR Navigation System With Effective Initialization.
IEEE Trans. Instrum. Meas., 2023

PLV-IEKF: Consistent Visual-Inertial Odometry using Points, Lines, and Vanishing Points.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

PIEKF-VIWO: Visual-Inertial-Wheel Odometry using Partial Invariant Extended Kalman Filter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots.
IEEE Robotics Autom. Lett., 2022

P$^{3}$-VINS: Tightly-Coupled PPP/INS/Visual SLAM Based on Optimization Approach.
IEEE Robotics Autom. Lett., 2022

2020
IVPR: An Instant Visual Place Recognition Approach Based on Structural Lines in Manhattan World.
IEEE Trans. Instrum. Meas., 2020

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment.
CoRR, 2020

Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze.
CoRR, 2020

A Geometric Consistency Model of Virtual Camera for Vision-Based SLAM Simulation.
Proceedings of the Spatial Data and Intelligence - First International Conference, 2020

A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors.
Proceedings of the Spatial Data and Intelligence - First International Conference, 2020

CPI: LiDAR-Camera Extrinsic Calibration Based on Feature Points with Reflection Intensity.
Proceedings of the Spatial Data and Intelligence - First International Conference, 2020

2019
Image Aided Point-wise Autonomous Annotation for LiDAR Data.
Proceedings of the CSAI 2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence, 2019


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