Why Automotive AI Demands Specialized Data
Environmental diversity
Environmental diversity
Environmental diversity
Urban, rural, night, rain, snow, construction zones.
Multi-sensor fusion
Environmental diversity
Environmental diversity
Camera, LiDAR, radar, GPS, and IMU alignment.
Edge cases
Environmental diversity
Real-time decisions
Rare and unpredictable events define safety performance.
Real-time decisions
Environmental diversity
Real-time decisions
Sub-second predictions with zero tolerance for error.
Data Types We Support
Data Collection Strategy
Define data collection pools, Capture diverse geographic and environmental conditions, Ensure balanced datasets for edge and nominal cases
AI-Assisted Pre-Labeling
Pre-labeling with machine predictions reduces manual effort and speeds delivery — without compromising accuracy.
Image & Video High Quality Annotation
Data normalisation as per GDPR, Bounding boxes, Semantic segmentation for video data, object tracking.
3D Point Cloud Labeling
Spatial geometry, distance, orientation, motion vectors.
Radar & Sensor Data
Velocity, reflection patterns, object correlation.
Sensor Fusion Alignment
Cross-sensor identity consistency and timestamp synchronization.