Project Description: 

Our project leverages ROS to organize the various sensor arrays including LIDAR and Optical sensors to provide a hot-swappable self-driving vehicle platform. It’s intended for rapid development of autonomous systems and would ideally support modular components such that different combinations of capabilities are included for arbitrary environments. It also tests different pathing algorithms like Timed Elastic Band path planning and Adaptive Monte Carlo Localization for matching the platform’s initial pose against a saved map generated by a Simultaneous Location and Mapping (SLAM) procedure. The goal is to operate safely in arbitrary environments, and should work exceptionally well in known environments.

Project Team Member(s): 
Logan Saso
Michael Burton
Miao Zhou
Rajat Kulkarni
College of Engineering Unit(s): 
Electrical Engineering and Computer Science
Undergraduate Project
YouTube Video Link(s): 
This video showcases the basics of our project and a short demonstration of our autonomous vehicle in action.
Project Communication Piece(s): 
PDF icon Expo Project Poster677.41 KB
Industry Sponsor: 
Kevin McGrath
Project ID: