Multi-sensor fusion standard — LiDAR, camera and IMU integration for robust, reliable robot perception.
A structured approach to achieving full AI Sensor Fusion interoperability and certification
Standardized schemas for multi-sensor streams — LiDAR point clouds, camera frames, and IMU readings with temporal alignment.
RESTful and streaming APIs for sensor registration, fused state queries, and uncertainty estimation.
Real-time synchronization protocol for time-aligned multi-sensor data and Kalman-filter based fusion.
Integration patterns connecting fused perception output to navigation, planning, and robot control stacks.
Progressive certification paths for sensor and perception system vendors
Implements standardized formats for LiDAR, camera, and IMU sensor data exchange.
Complete fusion API with sensor registration, fused state queries, and uncertainty output.
Full protocol compliance with real-time sync and perception stack integration.
Verified cross-modal fusion of LiDAR point clouds with camera imagery.
Proven inertial data fusion for robust motion and pose estimation.
Advanced AI capabilities for adaptive fusion and uncertainty-aware perception.
Explore our interactive simulator, comprehensive documentation, and certification programs.