Zhi Li

My Expertise

I am a computer vision master, where I work on visual slam and UAV navigation. I obtained my BSc and MSc from Northwestern Polytechnical University(NWPU) in 2012 and 2019 respectively, under the supervision of Prof. Tao Yang.

Education

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Majer

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Tools

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Research

During my master's period, my research work covers many aspects, including visual SLAM, autonomous vision control of UAV, visual navigation of unmanned vehicle, multi target detection and tracking. At present, I am more interested in multi-sensor fusion SLAM and deep learning, including open source excellent framework (ORB-SLAM, VINS-Mono, OKVIS) etc, and its applications in UAVs and unmanned vehicles.

Panoramic UAV Surveillance System based on Structure-free Fisheye Camera Array

Tao Yang, Zhi Li, Jing Li, Bolin Xie

This paper presents a novel panoramic UAV surveillance system, which is based on an unique structure-free fisheye camera array, and has the capability of 3D detection and tracking multiple UAVs in a very wide field of view.

paper

Monocular Vision SLAM-Based UAV Autonomous Landing in Emergencies and Unknown Environments

Tao Yang, Peiqi Li, Huiming Zhang, Jing Li, Zhi Li

This paper proposes and implements a monocular vision-based drone autonomous landing system in emergencies and in unstructured environments. In this system, a novel map representation approach is proposed that combines three-dimensional features and a mid-pass filter to remove noise and construct a grid map with different heights.

paper | website | video

Anti-UAVs Surveillance System based on Ground Random Fisheye Camera Array

Zhi Li, Tao Yang, Jing Li, Zhuoyue Zhang, Ruikai Liu, Bolin Xie

This paper mainly focuses on monitoring various UAVs in unknown and GPS-denied wide areas. We innovatively construct a novel antiUAVs surveillance system based on ground random fisheye camera array.

paper | slide

Geodetic Coordinate Calculation Based on Monocular Vision on UAV Platform

Zhi Li, Tao Yang, Guangpo Li, Jing Li, Yanning Zhang

This paper mainly studied a method of geodetic coordinate calculation based on monocular vision on UAV platform, which is extension and expansion of the traditional monocular vision measurement method. Our system only needs a monocular camera carried on UAV platform and combines the latest ORB-SLAM algorithm.

paper | slide

A Ground-Based Near Infrared Camera Array System for UAV Auto-Landing in GPS-Denied Environment

Tao Yang, Guangpo Li, Jing Li, Yanning Zhang, Xiaoqiang Zhang, Zhuoyue Zhang, Zhi Li

This paper proposes a novel infrared camera array guidance system with capability to track and provide real time position and speed of a fixed-wing Unmanned air vehicle (UAV) during a landing process.

paper | video

Featured Projects

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SIFTGPU-SLAM

  • Core members (2017-2018)

Developing a monocular visual odometer system based SIFT-GPU, independently.

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Vision-based UAV Autonomous Flight

  • Core members (2017)

we built a UAV autonomous vision flight platform based on DJI Matrix100, Manifolds, Intel UNC and other sensors. With this technology we participated CHREOC UAV Competition on Intelligent Sensing Technology, and won the sixth good results in the country.

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Visual distance measurement and obstacle avoidance

  • Core members (2016)

In motion, we use stereo camear to estimate distance and avoid obstacles.

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Vision-based UAV Auto-landing

  • Core members (2015)

we developed a real-time vision-based UAV autonomous landing system. With this technology we participated AVIC Cup-International UAV Innovation Grand Prix and won the third international place.

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