JIANHAO JIAO CYT Building, HKUST, Clear Water Bay, Hong Kong SAR, CHINA Email:
[email protected] j Personal Page: https://gogojjh.github.io EDUCATION The Hong Kong University of Science and Technology Hong Kong SAR, CHINA Ph.D. in Electronic & Computer Engineering, HKUST September 2017 - November 2021 (expected) Robotics and Multiperception Lab HKUST Robotics Institute Advisors: Prof. Ming Liu Zhejiang University Hangzhou, CHINA B.Eng. in Electronic Engineering Sept. 2013 - June 2017 Thesis: Towards a Cloud-Based Visual SLAM Framework for Low-Cost Agents Advisors: Prof. Xiang Tian RESEARCH 1. Lane Detection for Autonomous Vehicles Code: https://github.com/ram-lab/dp_based_lane_detection A novel method that formulates lane detection as a shortest path problem and applies dynamic programming to solve it. (Accepted by IEEE ICRA 2019) 2. Sensor Calibration for Mobile Robots Code: https://github.com/ram-lab/lidar_appearance_calibration Multiple LiDARs have progressively emerged on autonomous vehicles for rendering a wide field of view and dense measurements, but precise and flexible calibration methods are lacking. We propose appearance- based and motion-based approaches respectively to calibrate multi-LiDAR systems in urban environments. (Accepted by IEEE IV 2019 and IEEE IROS 2019) 3. 3D Object Detection for Autonomous Vehicles Page: https://sites.google.com/view/mlod-iros Code: http://143.89.78.112:5000/sharing/90BpyDIuq Extrinsic perturbation always exists in multiple sensors. This project focuses on the extrinsic uncertainty in multi-LiDAR systems for 3D object detection. We propose the first multi-LiDAR 3D object detector called MLOD which takes multiple point clouds as input and predicts the 3D states of key objects under extreme extrinsic perturbation.