Autonomous Vehicles: Obstacle Detection
Session Number
Project ID: ENGN 06
Advisor(s)
Dr. Matthew Walter; Toyota Technological Institute at Chicago, Robotics Intelligence through Perception Lab
Discipline
Engineering
Start Date
19-4-2023 9:35 AM
End Date
19-4-2023 9:50 AM
Abstract
The purpose of this research is to develop an algorithm for the Duckiebot to detect obstacles in the Duckietown field. Autonomous vehicles rely on internal and external sensors to understand the surrounding environment. On the road, self-driving vehicles depend on image processing to identify cars and pedestrians. Through this research, the purpose is to prevent collisions between the Duckiebot and other robots on the game field using a vision algorithm. Linux, Python, machine learning, and a camera are used to navigate the robot and detect colors and objects.
Autonomous Vehicles: Obstacle Detection
The purpose of this research is to develop an algorithm for the Duckiebot to detect obstacles in the Duckietown field. Autonomous vehicles rely on internal and external sensors to understand the surrounding environment. On the road, self-driving vehicles depend on image processing to identify cars and pedestrians. Through this research, the purpose is to prevent collisions between the Duckiebot and other robots on the game field using a vision algorithm. Linux, Python, machine learning, and a camera are used to navigate the robot and detect colors and objects.