Published: 28 October 2016
Netradyne today announced three new key Artificial Intelligence Deep Learning features in the Driveri platform, including Traffic Light Detection, Relative Speed Determination and Pedestrian Identification. Driveri has been developed to capture every moment and aspect of the driving experience, rather than a small sample of triggered data, further protecting each driver, fleet manager, and the fleet’s brand reputation.
The Driveri platform’s detection, causality and reasoning capabilities are computed at the vehicle level where fleets can accurately recognize strong results or reinforce best practices to cultivate a more collaborative relationship between the driver and the fleet manager. These new features provide drivers and fleet managers with greater driving situational visibility.
- Traffic Light Detection – through the accurate detection and recognition of traffic lights, fleets gain valuable insight into their routes, capturing a more robust driving view in the absence of an inertial-based trigger
- Relative Speed Determination – Driveri analyzes every minute of every driving hour – computing the vehicles speed against the flow of traffic – providing visibility into potential unsafe speed variances based on road conditions
- Pedestrian Identification – expanding on Netradyne’s comprehensive deep learning portfolio, the platform can now detect proximity of pedestrians to the vehicle, improving risk analysis