Matlab simulation workflow Radar and Lidar Fusion for Enhanced Perception in Urban Air Mobility

This Matlab simulation workflow advances unmanned aerial systems safety by fusing radar and lidar data for robust environmental surveillance. Covering scenario creation, sensor modeling, and tracking, the environment delivers automatic C/C++ code generation for dual-use embedded deployment

Urban Air Mobility requires navigation in dense environments where UAVs may operate near buildings, ground infrastructure, and other aerial vehicles. Maintaining situational awareness under these conditions is a core requirement for safe operation. Because no single sensor modality can provide robust perception across all environmental conditions, multi-sensor fusion is frequently adopted to mitigate individual sensor limitations.