Cyclope.ai designes an Infrastructure-to-Vehicle (I2V) solution in order to inform in real time connected and autonomous vehicles about traffic conditions (position, speed, braking, lane changes, etc.) and incidents.CONTACT US
Automatic segmentation mask
Stopped vehicle, pedestrian, smoke, etc.
Vehicle tracking and occlusion management
Classification, profiling, etc.
Turn signal, braking and speed information
Position and speed
As part of the SAM Project, Cyclope.ai has designed for Cofiroute an image processing solution designed to inform connected and autonomous vehicles of the traffic conditions and incidents in the A86 Duplex Tunnel. This solution has been based on the video surveillance cameras already installed into the tunnel, and therefore does not require any change of equipment.
10.5 km of tunnel
18,000 vehicles per day
“Thanks to the algorithm developed by Cyclope.ai, connected and autonomous vehicles will benefit from qualified information on traffic conditions, events and singularities of the motorway network. This data will enable them to anticipate risk situations to provide the user with a safe and continuous autonomous experience.”