Jiadai Sun 孙家岱

I am currently a third-year (2020- ) graduate student of Northwestern Polytechnical University (NWPU) with the supervision of Prof. Yuchao Dai, and I received my Bachelor’s degree in July 2020 from the School of Computer Science of NWPU, with the honor of Outstanding Graduate.

Currently, I am a Research Intern at the Robotics and Autonomous Driving Lab of Baidu Research, and working very closely with Xibin Song and Dingfu Zhou on a research topic about Scene Reconstruction and Novel View Synthesis. Before that, I have been working very closely with Xieyuanli Chen on a research topic about LiDAR-Based Moving Object Segmentation at Haomo.AI. I used to be a Research Intern on topics related to 3D Scene Reconstruction and Understanding at 3D&AR Group @ MIG of SenseTime Research supervised by Jiaming Sun and Prof. Xiaowei Zhou (CAD&CG, ZJU) from October 2019 to May 2020. During my undergraduate study, I worked in CVR-Lab supervised by Prof. Yuchao Dai as a Research Assistant on Lidar/Visual 3D Registration and Reconstruction, Dual Lidar calibration, etc. I’ve served in the NWPU Dancing Robot Research And Training Base - Rescue Robot Group Team - Explorer for two years as a Robot Software Engineer and Team Leader since July, 2017. As usual, we participate in RoboCup Rescue Robot League Regional Open Competitions, and my main contribution is about SLAM, Robot Localization and Navigation, Path Planning, etc.

Github: MaxChanger | Google Scholar | Email: sunjiadai AT foxmail dot com, sunjiadai AT mail.nwpu.edu.cn

- I am looking for a job opportunity about 3DVision, free to contact me if you think we are a good match.

Research Interest

3D Vision, Robotics, SLAM, Autonomous Driving, Point Cloud Understanding, Motion Understanding

Recent News

Education & Intern Experience

School of Electronics and Information @ Northwestern Polytechnical University, China, 09/2020 - 04/2023
– Master of Engineering | Advisor: Prof. Yuchao Dai
– Overall Average: 93.26/100

School of Computer Science @ Northwestern Polytechnical University, China, 09/2016 - 06/2020
– Bachelor of Engineering, Outstanding graduate, Computer Science and Technology | Advisor: Prof. Yuchao Dai
– Overall Average: 88.28/100 | College Comprehensive Evaluation Ranking: 1/248

Robotics and Autonomous Driving Lab @ Baidu Research, Beijing, 04/2022 - now
– Scene Reconstruction and Novel View Synthesis.
– Mentor: Dingfu Zhou, Xibin Song and Liangjun Zhang

Perception Algo. @ Intelligent Algo. Dept. of HAOMO.AI, Beijing, 11/2021 - 04/2022
– Online LiDAR-based 3D Moving Object Segmentation.
– Mentor: Xieyuanli Chen and Xianjing Zhang

3D&AR Group @ MIG of SenseTime Research, Hangzhou, 10/2019 - 05/2020
– 3D Scene Reconstruction and Understanding | RGB-D Indoor Scene and Object Reconstruction
– Mentor: Jiaming Sun and Prof. Xiaowei Zhou

Publications

This part will be updated as soon as my on-going projects are approved to be made public which should be quite exciting.

Projects

Rescue Team Leader - NPU Dancing Robot Research & Training Base 07/2017 - 08/2019
Goal: Search for several victims placed in the disaster scene simulation site, find and mark them.
My main responsibility is SLAM and auto-navigation, based on Cartographer and Hector SLAM algorithms, combining them with our robots. Thanks to the cooperation of teammates.
Video: [Rescue Team Explorer – Presentation][Autonomous Obstacle Avoidance Control Algo.]

Major Member - NPU Peak Experience Program with Prof. Y. Dai 10/2018 - 06/2020
Topic: Lidar/Visual 3D Reconstruction, Deep ICP, Multi-sensor calibration, Visual SLAM etc. Data acquisition and reconstruction of buildings using 3D Lidar with Cartographer. Calibration of the extrinsic parameters between Camera and Lidar has been achieved.
Video: [Velodyne-16+IMU+cartographer][Dual Lidar Calibration]

Intern - Optical Imagery Analysis and Learning Center (OPTIMAL) 12/2018 - 05/2019
Topic: Unsupervised Learning Hash Encoding Schemes for Efficient Image Retrieval.
Transform high-dimensional media data into compact binary codes and generate similar binary codes for similar data items, under the supervision of Dr. Zhanxuan Hu. Combine Unsupervised Clustering with Deep Hashing, based on Pytorch, and made a demo using Flask.

Honors & Awards

Misc.