Automatic driving model based on machine learning agents

Shutuo Guo

doi:10.1117/12.2667914

28 March 2023 Automatic driving model based on machine learning agents

Shutuo Guo

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663B (2023) https://doi.org/10.1117/12.2667914
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

In the area of artificial intelligence, automatic driving is a significant study area. Self-driving cars are vehicles that can sense and respond to surrounding environments to guarantee a safe and machine-controlled drive. However, the cost of a driverless car is considerably higher than a typical car, preventing the further promotion of such technology. The situation could be improved if there is a way to reduce the cost of sensors. This paper uses Machine Learning Agents to create a self-driving agent. The agent is trained under the Proximal Policy Optimization policy. In addition, a randomly generated map is constructed to improve the robustness of the agent. After training, the agent can drive the car without hitting walls and obstacles with six sensors. As tracks and blocks are randomly created, the driver agent applies to real-life situations and could be used as simulations for real self-driving cars.

Citation Download Citation

Shutuo Guo "Automatic driving model based on machine learning agents", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663B (28 March 2023); https://doi.org/10.1117/12.2667914

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available