Mobilicom, WIN Consortium demonstrate use of 5G AI synchronised mesh network for autonomous vehicles

Shoham, Israel – Mobilicom Ltd., a provider of cybersecurity and solutions for drones and robotics, in conjunction with the Wireless Intelligent Networks (WIN) Consortium, has announced the demonstration of artificial intelligence (AI) for wireless systems for 5G device-to-device communication.

WIN is a non-profit organisation funded by the Israeli Innovation Authority for the purpose of developing technologies for 5G intelligent wireless networks. Mobilicom was previously selected to join the WIN in June 2020.

The demonstration covered non-GPS (GNSS denied environment) distributed AI synchronised mesh networks (wireless nodes that connect dynamically and directly with each other) including two mesh systems working simultaneously. One of the demonstrations included a drone and a second controlled a ground vehicle, with both networks relaying video back through the 5G network to mobile phones.

The research and demonstrations advanced the Consortium’s knowledge including the integration of mesh networks for secure drone operations. A number of other organisations were involved including the international Tier 1 defense electronics provider Elbit Systems, networking equipment provider Ceragon Networks, semiconductor IP company CEVA, and next-generation mobile tech provider RunEl, and academic institutions Ben Gurion University and Lev Institute.

“As a technology leader in mesh network security and drones, Mobilicom is at the forefront of knowledge in this space and we were very pleased to work with industry and academic leaders to advance these fifth-generation solutions that will enable unprecedented performance for autonomous vehicles and systems,” states Yossi Segal, VP of R&D and co-founder of Mobilicom. “We expect the outcome of this research and know-how will lead to an expansion of our IP portfolio and be incorporated into our future products for commercial and industrial drones, robotics and autonomous platforms.”

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