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Applications 

Swarm-Drone-DQN

3D drone navigation simulator demonstrates autonomous UAV flight in a virtual environment with waypoint tracking, obstacle avoidance, LiDAR sensing, SLAM/depth visualization, and live telemetry. It supports both single-drone and swarm-drone modes, where the leader drone can guide follower drones through D2D communication links. The simulator also includes DRL-based navigation behavior, formation tracking, mission status, and real-time sensor feedback for testing GPS-denied autonomous navigation.

Drone_Geo_navigation

Drone navigation simulator shows an autonomous UAV following a waypoint-based route over a satellite map. The user can define multiple waypoints, and the drone moves along the planned path while displaying real-time telemetry such as altitude, vertical speed, mission time, traveled distance, and heading. The interface also includes a compass, scale bar, route tracking, and map controls for monitoring the drone mission during simulated flight.

mmWave

A 77-GHz mmWave drone SAR simulator shows how radar echoes collected during drone motion are processed with backprojection to reconstruct a SAR image. Bright spots represent strong target reflections, while blurred traces illustrate the image focusing process over time.

Polimetric mmWave

Polarimetric radar simulation visualizes how different surfaces and objects reflect radar signals depending on their scattering properties. The heatmap represents radar intensity in dB, where brighter regions indicate stronger reflections from roads, structures, or target-like objects, while darker areas show weak backscatter or shadowed zones. By analyzing multiple polarization channels, the simulator can help distinguish terrain, buildings, vegetation, and possible objects of interest in a remote-sensing scene.

Drone-Agent

GPS-denied V-formation swarm drone simulator demonstrates autonomous multi-agent navigation in a constrained environment. A leader drone uses a 360° multi-layer LiDAR sensor and onboard camera to detect obstacles, generate a live 3D point cloud, and guide the mission from start to goal. The follower drones maintain formation using leader telemetry and communication links while avoiding obstacles. The simulation shows real-time path tracking, LiDAR scanning, cloud-point generation, link quality, and formation error during cooperative navigation.

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