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Projects

LiDAR Point Cloud S2D (GAN)

Sep 2019

Built a GAN model based on Pix2Pix to transform point cloud projection images into camera depth images. Enables transformation between point cloud and image coordinates.

DARPA SubT Challenge

Aug 2019

Team NCTU (7th Place). Developed autonomous mapping and navigation for underground environments using multi-agent systems.

Marine Robot Tracking

Mar 2019

Tracking and following marine robots using SSD (Single Shot MultiBox Detector), Kalman Filter, and PID control with visual and point-cloud data.

Point Cloud Classification

Jan 2019

Deep learning classification of 3D point clouds using 2D projection images. Deployed in RobotX 2018 competition.

Maritime RobotX Challenge

Dec 2018

3D Perception Leader (5th Place). In charge of 3D LiDAR and depth camera perception, including detection and classification.

NCTU Self-Driving Robot

Jun 2018

Built a self-navigating robot for campus environments using 16-bin LiDAR, IMU, GPS, and wheel odometry.

3D Object Modeling

Jan 2018

Built a 3D point cloud modeling system using PCL, ICP, iSAM, and apriltags with a single depth RGB camera.

Multi-robot Patrolling

Dec 2017

ROS-based multi-robot patrolling system for surveillance and logistics applications.

Duckietown @ NCTU

Sep 2017
Duckietown

Teaching Assistant for Creative Software Project. Autonomy education and research platform.

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