High Speed Autonomous Vehicles Using the Mit Racecar Platform

School Name

Governor's School for Science & Mathematics

Grade Level

12th Grade

Presentation Topic

Engineering

Presentation Type

Mentored

Mentor

Mentor: Sertac Karaman, Massachussets Institute of Technology

Abstract

Self-driving cars have recently become popular in media. These cars reduce the possibility of accidents and will allow for cars to travel at greater speeds. The Rapid Autonomous Complex-Environment Competing Ackermann-steering Robot is a platform that assists researchers and students in the development of algorithms for high speed autonomous cars. The purpose of this experiment was to determine how best to program a robot to navigate efficiently using environmental stimuli including vision, range scans, and an inertial measurement unit. Through this program, a team was able to develop algorithms for visual analysis for use with the passive stereo camera and navigation algorithms for use with the laser radar range scanner. The team was unable, however, to implement a working solution for the mapping protocol. These algorithms can be applied to most areas of robotics and are the base of many of the popular modern robotic control systems.

Start Date

3-25-2017 11:59 PM

Presentation Format

Written Only

Group Project

No

COinS
 
Mar 25th, 11:59 PM

High Speed Autonomous Vehicles Using the Mit Racecar Platform

Self-driving cars have recently become popular in media. These cars reduce the possibility of accidents and will allow for cars to travel at greater speeds. The Rapid Autonomous Complex-Environment Competing Ackermann-steering Robot is a platform that assists researchers and students in the development of algorithms for high speed autonomous cars. The purpose of this experiment was to determine how best to program a robot to navigate efficiently using environmental stimuli including vision, range scans, and an inertial measurement unit. Through this program, a team was able to develop algorithms for visual analysis for use with the passive stereo camera and navigation algorithms for use with the laser radar range scanner. The team was unable, however, to implement a working solution for the mapping protocol. These algorithms can be applied to most areas of robotics and are the base of many of the popular modern robotic control systems.