Fusion Project to accelerate data management for autonomous and connected vehicles

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The Fusion Project, an automotive industry collaboration to define a streamlined data lifecycle platform to advance intelligent connected vehicles, has been announced.

As more auto makers implementing connected vehicle technologies, the amount of available data is exponentially increasing. This data can be used to power new data-centric features for consumers as well as revenue-generating opportunities for vehicle manufacturers. But efficiently dealing with vehicle data poses unique challenges to automakers because of fragmented data management across the machine learning lifecycle, inaccuracies caused by static machine learning models, limited capabilities in intelligent edge computing, and insufficient in-vehicle computing power.

Here comes The Fusion Project as it addresses these challenges by pre-integrating technologies from five industry providers into a solution that vehicle manufacturers can easily evaluate and introduce into vehicle design and production cycles for next generation connected and autonomous vehicles.

As connected vehicle technology continues to advance, the amount of available data is exponentially increasing. This data can be used to power new data-centric features for consumers and revenue-generating opportunities for automakers. But efficiently collecting, analyzing, and managing vehicle data presents unique challenges to automakers because of fragmented data management across the machine learning lifecycle, inaccuracies caused by static machine learning models, limited capabilities in intelligent edge computing, and insufficient in-vehicle computing power.

The Fusion Project addresses these challenges by pre-integrating technologies from five industry providers into a solution that automakers can easily evaluate and introduce into vehicle design and production cycles for next generation connected and autonomous vehicles.

The Fusion Project is specifying a solution for intelligent vehicle lane change detection utilizing synergistic technologies from each companies like Airbiquity, Cloudera, NXP Semiconductors, Teraki, and Wind River.

Phil Magney, Founder and President of VSI Labs, and former Co-Founder of the Telematics Research Group, said, “Automakers are constantly challenged with implementing complex technologies such as those required for the next phase of advanced ADAS and autonomous vehicle features.”

He added: “There are many facets to a next-generation data management technology stack that continuously improves and deploys AI machine learning models, so automakers need a vehicle-to-cloud solution like the one created by The Fusion Project that leverages key technologies from across the automotive ecosystem.”

The solution creates a capable and efficient data lifecycle platform from data ingestion through OTA machine learning model updates without a loss of data fidelity while maximizing system decision accuracy.

The pre-integrated solution is available for demonstration and evaluation with perspective customers.

(With inputs from Automotive Lead Research Team)

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