What is used to change the flight path of a UAS to avoid obstacles?

Active sensor data plays a crucial role in changing the flight path of a UAS (Unmanned Aircraft System) to avoid obstacles. This type of data is gathered in real-time through various sensors such as LiDAR, cameras, and radar, which detect the surrounding environment. By processing the information from these active sensors, the UAS can identify potential obstacles, such as trees, buildings, or other aircraft, and analyze the safest and most efficient path to navigate around them.

The use of active sensors is essential because they provide immediate feedback and situational awareness, allowing for dynamic adjustments to the flight path. Unlike static data like flight logs or telemetry that involve past or operational data, active sensor data is integral for real-time decision-making. This capability enhances the overall safety and effectiveness of UAS operations, particularly in complex environments.

Telemetry data, while important for monitoring the UAS's performance and status, does not inherently provide obstacle detection capabilities. Similarly, flight logs serve as records of previous flights and do not aid in real-time navigation adjustments. Manual controls, which involve a pilot directly managing the UAS, can also be used to avoid obstacles; however, they require human intervention and are less efficient than automated adjustments guided by active sensor data. Thus,