It is best to come see any committee member if you are interested in a specific team.

Choose a Team

Competing Teams

Perception

• Deals with sensor data
• Uses machine learning models to turn sensor data into something meaningful
  • ie localize cone positions relative to the car
  • training and bench-marking object detection models
• Lidar and Zed camera (stereo camera for depth)

SLAM (Simultaneous Localization & Mapping)

• Use sensors for localization (knowing where the car is relative to map/starting point)
• Uses perception data to create a map of the course
• Built using C++, will need research and use of advanced libraries

Planning & Control

• Given map and cone locations create a trajectory (plan)
• Given trajectory / global and local plan move the car in the correct way

Software Integration & Infrastructure

• Ensure all the parts of our system can be integrated with each other as well as the race car
• Data collection and analysis of our whole system
• Developing auxiliary software/systems for improving development as well as improving our system

Static

• Industry Research: Case studies, statistics, facts and a wide familiarization of AI in industry.