A Sensitive Collision Avoidance System Improved for Terrain Navigation on Elevated Terrain

This study introduces a specialized Collision Avoidance System designed specifically for navigating hilly terrains. It incorporates machine learning algorithms seamlessly integrated into an Arduino platform to improve safety measures by identifying potential collisions in challenging topographies. By harnessing machine learning methodologies, the system can detect and forecast obstacles in real-time, providing timely alerts and enabling proactive maneuvers to prevent collisions. The incorporation of Arduino technology streamlines the implementation process, offering a cost-efficient and adaptable solution tailored for hilly environments. Rigorous experimental assessments confirm the effectiveness and dependability of the proposed Collision Avoidance System, highlighting its potential to elevate safety standards in dynamic and intricate terrains.