Neural edge platform for connected vehicle data and driverless cars

Business news |
By Nick Flaherty

Manchester-based Wejo, which reversed into a Nasdaq-listed special acquisition company last year, is developing a machine learning platform to enable intelligent handling of data from vehicles at scale through a partnership announced at CES 2022 this week.

Latency and data storage costs are potential obstacles in harnessing and scaling the power of real-time vehicle communications, both with other vehicles and the infrastructure that is set to power Smart Cities. Vehicles are set to generate over 25Gbytes of data per hour, which requires more sophisticated management.

The neural platform is based on Wejo’s ADEPT platform, developed with the secretive US firm Palantir, to optimize how this data is managed within the vehicle, further processes it at the edge and ultimately communicates to the cloud. This process will not only reduce data overload and maximize data insights but will reduce costs for automotive manufacturers and improve manufacturing of the vehicle to provide a better driving experience – supporting safer vehicles, enabling further advancements in EV and autonomous mobility, and reducing congestion and emissions.

Wejo Neural Edge will filter and analyze the AV, EV and CV data before transmitting only the essential information to the cloud. The company already handles trillions of data points from 11.9 million vehicles and more than 60 billion journeys globally, across multiple brands, makes and models.

The platform uses in-car edge processing that Wejo is developing to filter only useful and valuable data before it is transmitted to the cloud. The embedded software technology in combination with Microsoft Azure cloud computing platform reduces network and storage costs for the auto manufacturers by optimising the data coming from the vehicle. Machine learning algorithms reconstruct vehicle journey and event data, using 20 percent of the data from autonomous, electric, and other connected vehicles and reconstruct it to represent 100 percent of the data, without any loss in data fidelity or integrity. Less data requires less storage which in turn reduces power consumption.

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Wejo Neural Edge also enables the standardisation and centralisation of the data that comes from autonomous, electric and connected vehicles. Not only does this provide a key building block for communication in near real time, but it also supports communication with infrastructure services such as road signs, traffic lights and parking lots, so vehicles can easily anticipate the road ahead and optimise mobility experiences.

Next: AV digital twin – video

Wejo’s common data model enables different manufacturer makes and models to speak the same data language, a key component supporting vehicle to vehicle communication and vehicle communications with infrastructure and services.

This helps the development of a digital twin of the vehicle and cities. In a simulation environment, a digital twin of the US can be constructed with the data to simulate how vehicles in different cities need to respond and navigate without having to outlay massive infrastructure costs of physical hardware or vehicles to be able to relearn how a vehicle should behave as an AV or EV in the Smart City.

“When I started Wejo in 2014, I knew that the proliferation of new mobility technology would drive data to a tipping point. And we are at that point today,” said Richard Barlow, Founder & CEO, Wejo. “With today’s vehicles producing approximately 25 gigabytes of data per hour, and as vehicle technology advances adding more sensors, data filtering and neural edge processing technology is essential to reduce this overload and drive the industry forward. Partnering with Microsoft and Palantir has positioned us to address this problem today, and to look ahead at the benefits of Wejo Neural Edge as a driver in the growth of autonomous mobility. “

“At Wejo, we believe that digital twins will reshape everything from road safety, to insurance, advertising, after-sales and more,” said David Burns, Chief Technology Officer, Wejo. “With Wejo Neural Edge we can look at what a CV is doing a kilometer away, and then alter and change the driver experience of an AV based on the information that is coming from down the road.”

“Our ongoing partnership with Wejo is focused on the most complex and critical challenges facing the future of mobility” says Shyam Sankar, Chief Operating Officer of Palantir Technologies. “What Wejo is building atop Palantir Foundry, including their cutting-edge neural edge technology, is a testament to the depth of their vision, speed of execution, and power of combining our technologies.”

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