TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint
In this paper we proposed a optimization-based visual-inertial framework with deep ThermalPoint to enable thermal-inertial odometry for mobile robots.
In this paper we proposed a optimization-based visual-inertial framework with deep ThermalPoint to enable thermal-inertial odometry for mobile robots.
Class Project for 15-618: Parallel Computing Architecture and Programming @ Carnegie Mellon University
Introduction This is a capstone project for robotics additional major students at Carnegie Mellon University. Our team (Team DeepBlockchainAI lol) decided to...
System Overview
This is a project that I’ve been working on during my internship at the Airlab since May 2018. The goal of this sensor pod is to achieve high accuracy 3D rec...
This is a brief overview of a research paper that I did during Summer 2018 with my classmate Ruixuan Liu (https://github.com/waynekyrie). The pdf version can...
Introduction Mobot is an annual competition for students to build mobile robot that can follow the lines in front of Wean Hall and pass the small gates. The ...
Video Sound on! We didn’t actually fly in this video since the controller is not stable. However, you can still see how the drone reacts to the hand gestures...