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Flying autonomously through complex environments requires more than knowing where a drone is. The aircraft must continuously understand what surrounds it, distinguish open routes from obstacles and react quickly enough to avoid collisions. Cameras can provide valuable visual information, but reliable depth perception and navigation become more challenging at night or in environments filled with structures, terrain and other hazards.
MicroVision has introduced a new family of LiDAR sensors designed specifically for unmanned aerial vehicles (UAVs) to address that problem. Called MOVIA Air, the technology gives drones the ability to measure their surroundings in three dimensions and use that information for navigation, mapping and autonomous decision-making.
LiDAR, or Light Detection and Ranging, works by sending laser pulses toward surrounding objects and measuring how long the reflected light takes to return. Those measurements create a three-dimensional representation of the environment, providing precise information about the distance and position of terrain, buildings, vehicles and other obstacles.
The product family includes two versions. According to NextGenDefense, the standard sensors incorporates embedded perception software for obstacle avoidance, autonomous landing and following, and target tracking. The company says it has reduced the sensor’s weight by 50% compared with its industrial version, making it easier to install on drones without consuming as much of their available payload capacity or affecting endurance. The sensor is designed to operate during both daytime and nighttime missions.
The more advanced MOVIA Air Plus adds an edge processor and can be paired with an optional camera. This allows the system to process information directly onboard the aircraft instead of recording raw data for analysis after landing. The drone can therefore generate a real-time 3D map of its surroundings while it is still flying.
Onboard processing also supports sensor fusion, combining LiDAR with information from other sensors to create a more complete picture of the environment. The system supports simultaneous localization and mapping (SLAM), which enables a drone to build a map while simultaneously determining its own position within it. Additional functions include terrain understanding and autonomous docking.
These capabilities are particularly relevant for defense and homeland security. UAVs conducting intelligence, surveillance and reconnaissance missions may need to navigate around buildings, vegetation or other obstacles while operating with limited external guidance. Real-time 3D perception could also support security patrols, search-and-rescue missions and autonomous logistics, particularly when GPS or communications are unreliable.
The company plans to demonstrate the sensor during the Joint Interagency Field Experimentation event, including live perception and 3D mapping. The company also plans to combine its airborne LiDAR data with its longer-range IRIS sensor, creating a shared operational picture incorporating both aerial and ground-level sensing.
