Advantages: Improves Sustainability
“One AI training model produces as much carbon emissions as five vehicles in their entire lifetime.” --MIT Technology Review, 2019
- DNN inferences informing vehicles require ML training models to recognize objects.
- Models are required for all variations
- e.g., size, color, viewing angle
Advanced Driving Systems are only as good as the models they are trained on.
RF-eye is a Key Pillar for Sustainable Advanced Driving Systems
Self-identifying Objects inform Advanced Driving Systems of
- The nature of nearby objects
- The vehicle’s precise location
- Road signage position and instruction
- Road, utility and other infrastructure elements
- Moving objects using the road
- Position of moving objects on the road
- Velocity of moving objects on the road
With RF-eye, all this information is available immediately, without data time lags.
