About This Training
There are many challenges in the automotive industry today, including massive amount of data available in new vehicles.
Vehicle data from dozens of
sensors like camera, LiDAR, radar and inertial motion, along with operational data from
vehicle ECUs can provide valuable real-time insights into vehicle driving environments and
vehicle performance.
Key vehicle data can be pre-processed on the edge in the vehicle and compressed up to 98%
while maintaining high fidelity for advanced analytics and training and deploying machine
learning models to continuously improve vehicles from design through their production
lifecycle.
In this session, we will identify the industry challenges and how a consortium of five
industry companies formed The Fusion Project to provide a complete vehicle-to-edge data
lifecycle that integrates machine learning training and deployment in a cost-effective way
that reduces training time by 10x.
