Biography

Dr. Zhang Handuo is currently the AI Scientist at Mind Pointeye leading a group of 7 engineers. My research interests include Robot Perception and computer Vision. Currently I am working on human-level spatial awareness and reasoning with the aid of AI.

Interests
  • 3D Robot Vision (Object Detection and Tracking)
  • Deep Feature Localization and Description
  • Visual SLAM and Navigation
Education
  • PhD in 3D Robot Vision, 2021

    Nanyang Technological University

  • MEng in Pattern Recognition, 2013

    Northeastern University

  • BSc in Automation, 2011

    Northeastern University

Skills

Python

90%

C++

80%

Artificial Intelligence

80%

Experience

 
 
 
 
 
Mind Pointeye
AI Scientist
April 2021 – Present Singapore
Responsibilities include data analysis, AI modelling and algorithm deployment.
 
 
 
 
 
Nanyang Technological University
Project Officer
August 2015 – January 2016 Singapore
Responsibilities include camera calibration of large baseline stereo cameras and the implementation of visual SLAM system on stereo camera robot.
 
 
 
 
 
Shenyang Institute of Automation, Chinese Academy of Sciences (SIA)
Assistant Researcher
July 2013 – August 2015 Shenyang, China
Assistance Research in the State Key Laboratory of Robotics, in charge of system simulation for collision detection of robot arms, and the development of bird-eye-view system to construct a panorama environment perception.

Recent Publications

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(2019). Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size. IEEE Access.

(2018). Heading Reference-Assisted Pose Estimation for Ground Vehicles. IEEE Transactions on Automation Science and Engineering.

(2017). Ultra-wideband aided fast localization and mapping system. IROS.

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(2017). A Hybrid Feature Parametrization for Improving Stereo-SLAM Consistency. ICCA.

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(2017). Stereo Vision based Negative Obstacle Detection. ICCA.

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Recent Posts

Projects

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Stereo Vision System on UGV
Stereo Vision System on High Speed Unmanned Ground Vehicle.
Stereo Vision System on UGV