Range Sensor

Range sensors measure distances to objects, providing crucial data for various applications like robotics, autonomous driving, and surveillance. Current research focuses on improving accuracy and robustness, particularly through sensor fusion techniques combining range data with visual or inertial information, and employing advanced algorithms like Gaussian mixture models, expectation-maximization, and deep reinforcement learning for tasks such as localization, mapping, and path planning. These advancements are driving progress in areas such as multi-robot coordination, micro-aerial vehicle navigation, and enhanced safety in autonomous systems.