Date of Award


Publication Type

Master Thesis

Degree Name



Computer Science

First Advisor

Wu, Dan




In 2014, there are more than 500,000 parking lot collisions, which is a 4% increase compare to 2010. Many cars are being produced every day, so that the parking spots are designed to be smaller, in the meantime, the size of cars has outgrown the size of parking space since the automakers have been making larger vehicles to favor customers' demands for larger interior spaces. As a consequence of smaller parking spaces, the possibility of human operational errors is significantly increased, which subsequently leads to accidents and traffic problems. This paper proposes an automatic parking method for parallel parking, which can be used to park vehicles in a narrower space to reduce the chances of parking lot collisions. It is based on the kinematic model and could be easily combined with other automatic parking approaches such as fuzzy logic and artificial neural network, ultimately making the parallel parking process more effective.