Obstacle Detection and Safe Navigation in Unexpected Situations of Intelligent Vehicle

Transportation technology now relies on autonomous, intelligent cars. They use WSN technology in the service of improving traffic flow and motorist security (Wireless Sensor Network). Over the years, several approaches have been used regarding crucial issues including the various levels of autonomous driving and its associated safety, obstacle detection, and obstacle avoidance tactics. Intelligent transportation system deployment requires a multi-step process. This research proposes a solution in the form of an obstacle detection sensor system that can avoid collisions while continuing on a predetermined direction. Intelligent vehicle safety is greatly influenced by obstacle detection and avoidance technologies. Calculating and redefining the minimal distance between three potentials is used in obstacle identification to distinguish between obstacles and non-obstacles in a hazardous setting. In this study, a number of different strategies and methodologies for autonomous vehicle obstacle detection and avoidance systems, in addition to vehicle formation control strategies are covered. Methods from several important studies have been evaluated systematically. This article provides a concise overview of obstacle detection techniques and avoidance strategies for autonomous vehicles. The outcome represents practical use and demonstrates the effectiveness of the implemented system.