Range Measurement

Range measurement, the process of determining distances to objects, is crucial across diverse fields, with current research focusing on improving accuracy, reliability, and efficiency. Active areas include optimizing sensor placement using techniques like Model Predictive Path Integrals to enhance target localization, developing robust machine learning methods for applications such as remote physical therapy assessment, and employing distributed algorithms like constrained zonotopic methods for improved multi-agent estimation. These advancements are impacting various applications, from autonomous navigation and robotics to healthcare and military surveillance, by enabling more precise and reliable distance measurements in complex and dynamic environments.