Phantom Auto Inc.

Yuval Deri

Shay Magzimof

David Parunakian

Gleb Mezhanskiy

Elrom Silvera

Alexander Efitorov

A vehicle remote support system includes a communication system that operates over a plurality of parallel wireless network connections to provide low-latency video from vehicle to a remote support server that provides remote support to the vehicle dependent on real-time video. The vehicle includes a source that encodes multiple versions of the original video segments (e.g., one per wireless network connection) and transmits the multiple versions of the segments to a sink at the remote support server over the respective wireless connections. This redundant multi-path communication system rationally allocates network resources to the managed video streams and balances bandwidth against latency in order to avoid network congestion and safety issues associated with single-path transmissions. In other embodiments, a similar communication system that transmits video or other real-time messages between a source and a sink may be utilized in cloud robotics applications.

Low latency wireless communication system for teleoperated vehicle environments

A communication system facilities low-latency, high-availability multipath streaming between terminals (e.g., mobile terminals) and a server platform. In an example application, a remote support service operating on the server platform provides remote teleoperation, monitoring, or data processing services to a mobile terminal embodied as a vehicle or robot utilizing a low latency communication link. The low latency link enables a remote operator to receive video or telemetry feeds, and timely monitor and respond to hazards in substantially real-time. The low latency communication link may be achieved even when the data streams are transmitted over public networks incorporating at least one wireless leg, and where individual connections have varying quality of service in terms of delivery latency due to congestion or stochastic packet losses. Assignment of data streams to particular communication channels may be made on an optimization model derived from a machine-learning process or simulation.

Growing community of inventors

Petach Tikva, Israel

Yuval Deri