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:

Hello 👋 and welcome to our page for our Research Project at WINLAB summer 2023! We are a passionate team of highly motivated students looking to make a meaningful impact and cultivate our knowledge. We have weekly team meetings on Mondays 12:00pm E.S.T and work with the Testing Vehicular AI Agent research team. We also have weekly presentations on Thursdays 2:00pm E.S.T to showcase our project milestones and achievements.

Week 1

Goals

• Team introductions
• Kickoff meetings
• Refining research questions

Summary

During the first week, We engaged in various activities to set the foundation for our research project. We came together and hold introductory meetings to foster collaboration and establish a common goal. We introduced ourselves, shared our backgrounds, and discussed our areas of expertise. We have reviewed and scoped the research goals and objectives. We identified the research questions and determined the specific outcomes we aim to achieve.

In addition, we explored the existing literature space and conducted initial research to gather relevant information and insights related to our research project. We delved into previous studies, scholarly articles, and other resources to understand the current state of knowledge in our research area.

Overall, the first week involved team introductions, goal clarification, literature review, scheduling, and establishing research protocols to lay the groundwork for a productive and successful research project.

Next Steps

• Read CARLA (Car Learning to Act) Documentation
• Learn about how we can use Carla to simulate real-world traffic scenarios
• Become familiar using Orbit Lab machines

Resources

• [Week 1 Slides Here]
• [Poster Abstract: Multi-sensor Fusion for In-cabin Vehicular Sensing Applications]
• [Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion]
• [Toward an Adaptive Situational Awareness Support System for Urban Driving]

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Week 2

Goals

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Summary

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Resources

[Week 2 Slides Here]

Week 3

Goals

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Summary

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Resources

[Week 3 Slides Here]

Week 4

Goals

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Summary

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Next Steps

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Resources

[Week 4 Slides Here]