Mean-Based Approach To Omnidirectional Pathfinding Algorithm Using Single Ultrasonic Sensor For Robotic Car

Our project centers around creating and practically testing a pathfinding algorithm using a single ultrasonic sensor on a test RC car. The algorithm consists of two phases: normal and intensive detection. This algorithm provides a reliable method for determining an obstacle-free path. The intensive detection method uses a servo motor for a broader field of view, thus creating an omnidirectional composite sensor with just one monodirectional sensor. It reduces the number of potential false positives for the ideal path by a mean-based approach.