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Guide to LAMBDA

Data Pipeline, System Configuration, and File Structure.

Data Collection Pipeline

LAMBDA utilizes a high-fidelity Sim-to-Real pipeline. We leverage Unreal Engine 5 for photorealistic visuals and AirSim for sensor extraction, while combining Sionna's ray tracing with CADFEKO's electromagnetic simulations.

System Configuration

We simulate a multi-sensor UAV platform equipped with visual, laser, and radio-frequency sensors.

RGB & Depth Cameras are physically aligned to provide pixel-level correspondence via AirSim.

Resolution1920 × 1080
FOV110°
Frame Rate100 Hz

File Structure

The dataset follows a structured hierarchy organized by Scenario, Weather, and Trajectory.

Dataset_Root/
├── San Francisco (Urban)/ # Scenario Name
│ ├── Scene 1/ # Sub-scene ID
│ │ ├── sunny/ # Weather Condition
│ │ │ ├── 1_uav_z_trace_1/ # [Num_UAVs]_[Trace_Type]_[Trace_ID]
│ │ │ │ ├── multipath/
│ │ │ │ │ └── f4p9GHz_V/ # Carrier Freq & Polarization
│ │ │ │ │ └── ... (.npz files)
│ │ │ │ ├── lidar/ # .pcd files
│ │ │ │ ├── rgb/ # .png files
│ │ │ │ ├── depth/ # .npz files
│ │ │ │ ├── imu/ # .json files
│ │ │ │ └── poses/ # .json/.npz files
│ │ │ ├── 1_uav_z_trace_2/
│ │ │ └── ...
│ │ ├── rainy/
│ │ └── ...
│ ├── Scene 2/
│ └── ...
├── San Francisco Style City (Suburban)/
├── SJTU Campus/
└── ...