Ling Gao

About Ling Gao

Ling Gao, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Shanghai Tech University, specializes in the field of Robotic Perception, Event-based Vision, SLAM.

His recent articles reflect a diverse array of research interests and contributions to the field:

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM

FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization

Visual odometry with an event camera using continuous ray warping and volumetric contrast maximization

Globally-optimal contrast maximisation for event cameras

Globally-optimal event camera motion estimation

Efficient globally-optimal correspondence-less visual odometry for planar ground vehicles

Ling Gao Information

University

Position

Ph.D. Candidate at

Citations(all)

105

Citations(since 2020)

105

Cited By

5

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Ling Gao Skills & Research Interests

Robotic Perception

Event-based Vision

SLAM

Top articles of Ling Gao

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras

arXiv preprint arXiv:2404.00842

2024/4/1

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation

2023

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM

IEEE Robotics and Automation Letters

2022/6/28

FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization

2022/5/23

Ling Gao
Ling Gao

H-Index: 1

Visual odometry with an event camera using continuous ray warping and volumetric contrast maximization

Sensors

2022/7/29

Globally-optimal contrast maximisation for event cameras

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021/1/20

Globally-optimal event camera motion estimation

2020

Efficient globally-optimal correspondence-less visual odometry for planar ground vehicles

2020/5/31

See List of Professors in Ling Gao University(Shanghai Tech University)

Co-Authors

academic-engine