Autonomous Driving Safety and Tracking With AI Mesh Technology

Gopher Protocol, a development-stage company which specializes in the creation of Internet of Things (IoT) and Artificial Intelligence - enabled mobile technologies, reports new R&D efforts for its MESH Technology.

New research includes testing of its MESH network technology for use in autonomous driving tracking and safety applications.

Gopher's core tracking technology is based on Artificial Intelligence data in real-time and is currently implemented in its pet tracking device, as previously announced.

The new research division, named gNETCar, is focusing on autonomous car safety research using its proprietary tracking technology. Gopher tested the tracking technology, using its private, secured communication protocol, and performed safe, autonomous vehicle driving successful experiments.

CTO, Dr. Rittman said, "Currently we are in the process of defining, adapting and testing of our advanced MESH network architecture to be implemented within autonomous driving systems. Our MESH network includes AI, deep learning methodology, which we believe will allow cars to rapidly and adaptably scale to safely handle situations as conditions change. Using Gopher's MESH technology, we believe it will potentially enable autonomous vehicles to communicate, learn and share vital safety details, among them road conditions, obstacles, weather and other safety information. "

Dr. Rittman went on to say "With Gopher's MESH technology, we expect data to be shared amongst all vehicles that are participating in the network for the most efficient, real-time, decision making."

The MESH network is a communications network intended to be made up of radio nodes organized in a mesh topology. A mesh refers to rich interconnection among devices or nodes. Wireless mesh networks often consist of mesh clients, mesh routers and gateways.

To learn more about MESH and the company's core tracking technology visit: http://gopherprotocol.co