Bearing Only Cooperative

Bearing-only cooperative methods focus on estimating the position and motion of targets using only angle measurements from multiple sensors, often cameras, without relying on distance information. Current research emphasizes developing robust and efficient algorithms, such as distributed Kalman filtering and recursive least squares, to improve accuracy and speed, particularly in challenging scenarios like multi-robot systems and aerial target tracking. These advancements are significant for applications requiring real-time localization and navigation in environments where precise distance measurements are unavailable or unreliable, impacting fields such as robotics, autonomous navigation, and surveillance.