Version 1 (modified by 17 months ago) ( diff ) | ,
---|
Developing a Vehicular AI Agent
Team: William Ching, Eddie Ward, Romany Ebrhem, Aditya Kaushik Jonnavittula
Project Advisor and Mentor: Professor Jorge Ortiz and Navid Salami Pargoo
Project Overview:
This project will create a realistic intersection simulation environment and use cutting-edge technology to design and implement it and analyze traffic data to improve its accuracy. Additionally, students will train an in-vehicle AI agent to interact with drivers and test its performance in different situations. Using a VR headset and remote control car with a first-person view camera, you’ll gain valuable insights into the capabilities and limitations of advanced AI agents.
Project Journey:
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Attachments (5)
- image_bug.png (450.7 KB ) - added by 17 months ago.
- 107-12.63882027566433.png (587.1 KB ) - added by 17 months ago.
- Untitled.mp4 (1.6 MB ) - added by 16 months ago.
- Screen Shot 2023-07-31 at 11.18.48 AM.png (1.2 MB ) - added by 16 months ago.
-
Untitled.gif
(10.6 MB
) - added by 16 months ago.
scenerio1gif
Note:
See TracWiki
for help on using the wiki.