Eye-Net™ is a cellular-based solution, designed to prevent accidents between vehicles and between vehicles and pedestrians

Foresight announced that it has completed a demo version of its new Eye-Net™ accident prevention system, and has carried out a series of successful demonstrations. Eye-Net™ is a V2X (vehicle to everything) cellular-based accident prevention solution, designed to provide real-time pre-collision alerts to pedestrians and vehicles, by using smartphones and relying on existing cellular networks.

The Eye-Net™ system is designed to provide a complementary layer of protection beyond traditional advanced driver assistance systems and extend protection to road users who are not in direct line of sight, and not covered by other alerting systems. The Eye-Net™ system is designed to identify an oncoming collision before the parties involved are able to see each other, and it provides an alert that will allow such parties to stop in a safe and timely manner.

By using cellular-based technology, Foresight is creating a solution that will be available to anyone, eliminating the need for designated hardware and a long regulatory process.

The company has performed more than 15 successful demonstrations, during which it presented early detection capabilities and collision prevention between vehicles moving towards each other at a 90-degree angle, with no direct eye contact between them. An additional scenario was presented, preventing an accident between vehicles and a pedestrian jumping out in front of an oncoming vehicle. In all the demonstrations, the system successfully alerted the users in a manner that enabled them to brake safely and on time.

Over the past two quarters, the company has significantly accelerated the development of the Eye-Net™ system and has focused on improving user location evaluation accuracy, compensation for network latency, and resource consumption.

The company estimates that it will be able to complete the development of the system’s alpha version by the end of the first quarter of 2018 and is planning to conduct a first multi-user trial in which dozens of vehicles will use the system simultaneously, in a way that the company estimates will demonstrate its efficiency in a variety of real-time scenarios.

Source: Foresight