MATLAB Road Modeling and Vehicle Obstacle Avoidance Based on Artificial Potential Fields

MATLAB-based road modeling and vehicle obstacle avoidance using artificial potential fields represents a fundamental autonomous control technique that simulates human environmental perception processes, enabling vehicles to navigate complex road environments efficiently and safely. In this methodology, roads are modeled as spatial domains composed of potential fields, where vehicles respond to field forces that guide them to avoid collisions and hazardous situations. MATLAB serves as an essential computational tool in this framework, allowing developers to rapidly simulate and analyze diverse scenarios through algorithmic implementations such as attraction potential functions for target positions and repulsive potential functions for obstacles. Key MATLAB functions like quiver for vector field visualization and ode45 for trajectory integration facilitate the optimization of vehicle paths and obstacle avoidance strategies. Consequently, this artificial potential field-based approach implemented in MATLAB holds significant importance with broad applications in autonomous driving systems and intelligent transportation networks.