Update README.md

README.md

@@ -58,5 +58,30 @@ and avoidance maneuvers in simulated 3D environments with configurable parameter
 noise, frequency, dynamic obstacles). Synthetic drone datasets are generally used to overcome 
 real-world data limitations for unmanned aerial vehicles (UAVs).
 
-## WAVEBENDER V1:
+## Key Features
+
+- Realistic 3D simulated environments
+- Configurable parameters: scene complexity, sensor noise, update frequency, dynamic/moving obstacles
+- Multi-modal data: raw telemetry + processed SLAM + maneuver labels
+
+## Included Signals
+
+- **Telemetry**  
+  - Acceleration (3-axis)  
+  - Gyroscope (3-axis)  
+  - Altitude (barometric / fusion)  
+  - Velocity vector  
+  - Battery level / voltage  
+  - GPS position & velocity  
+
+- **SLAM / Perception**  
+  - Obstacle detection & mapping output  
+  - Distance to nearest obstacles  
+
+- **Labels / Actions**  
+  - Avoidance maneuver executed (direction, type, intensity)
+
+## Status
+
+Under active development — v2 expands variety, realism, and annotation quality over v1 (link below)
 https://huggingface.co/datasets/webxos/wavebender_dataset