Cohda Wireless Pty Ltd.

Mohamed Elbanhawi

Malik Khan

Paul Dean Alexander

John Lawrence Buetefuer

Lachlan Travis Robinson

Kukulage Nomal Samunda Perera

Kukulage Perera

John Buetefuer

Lachlan Robinson

A method for automatically training a neural network includes at a trainer having a first communication device and a perception recorder, continuously recording the surroundings in the vicinity of the first object; receiving, at the trainer, a message from a communication device associated with an object in the vicinity of the trainer, the message including information about the position and the type of the object; identifying a recording corresponding to the time at which the message is received from the object; correlating the received positional information about the second object with a corresponding location in the recording to identify the object in the recording; classifying the identified object based on the type of information received in the message from the object; and using the classified recording to train the neural network.

Systems and methods for automatically training neural networks

Methods and systems for estimating range between a first device and a second device using at least one wireless communication channel defined between the first and second devices are disclosed. The method comprises: obtaining a set of range measurements, wherein the range measurements include measurements associated with multiple paths taken by signals between the first and second devices; discarding over-ranges caused by multiple signal paths using a variable threshold; and processing the remaining range measurements to obtain an estimated range.

Method and system for estimating range between and position of objects using a wireless communication system

Methods and systems for estimating the position of an object such (as a vehicle) are disclosed. The method comprises transmitting a first V2X message from the object to a plurality of spaced apart units; and receiving a set of V2X response messages from at least two units in response to the first V2X message. Each response message comprises an identifier of the object, an identifier of the unit from which the response message was sent, and temporal information associated with the times of receiving a previous V2X message at the unit and transmitting a previous V2X response message from the unit. The position of the object is estimated based on the information contained in the set of V2X response messages and the times of transmitting the previous V2X message from the object and receiving the previous set of V2X response messages at the object.

Method for estimating the position of an object

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Wayville, Australia

Mohamed Elbanhawi