Vision-based Navigation

Vision-based navigation involves using cameras and image processing technology to help robots or autonomous vehicles understand and move through their environment. By capturing visual data, the system detects obstacles, recognizes pathways, and assesses surroundings, enabling precise movement without human input. This approach mimics human vision, allowing machines to interpret complex scenes, make real-time decisions, and navigate safely and efficiently in diverse settings. It's widely used in self-driving cars, drones, and robotics to improve autonomy and navigation accuracy.