UCI Intelligent Ground Vehicle

Background 

Students that are a part of the UC Irvine Intelligent Ground Vehicle Team will design and test an autonomous ground vehicle that is able to navigate through an obstacle course. The technologies used in IGV encompass a wide range of applications in engineering including military mobility, intelligent transport systems, and manufacturing. 

Goals and Objectives 

The goal for students in IGV is to implement skills gained in classes while designing the vehicle and developing a method to allow it to navigate through the obstacle course. This includes usage of Finite State Machines, Ultrasonic and GPS Sensors, and microcontrollers. 

(Updated as of Spring 2021)

Currently, the project is in the manufacturing stage. The chassis is being built and the obstacle detection code, GPS, and navigation systems are nearly complete. The next steps are uploading the code to the vehicle and running navigation tests and physical troubleshooting in order to ensure the vehicle functions as intended. Lastly, rather than use a store bought battery, the plan is to make an expandable battery pack using lithium batteries which opens up the opportunity for expanding the vehicle itself in the future. This part of the process is in the design stages, with manufacturing hopefully being completed near the end of the quarter in time for testing. 

Project Website 

GitHub - IGV: The Navigation Code for the Intelligent Ground Vehicle Project through UCI

Team Contact(s) 

Michael Sheldon Mountain (Project Lead): mmountai@uci.edu 

Team Advisor(s) 

Professor David Copp: dcopp@uci.edu 

Professor David J. Reinkensmeyer: dreinken@uci.edu

 

Project status: 
Active
Department: 
MAE
Term: 
Fall
Winter
Spring
Academic year: 
2020-2021
Fall Poster: 
Winter Poster: 
Author: