Although sensor data collection does not sound complicated, FleetWise promises to provide an end-to-end solution, supplemented by greater flexibility.
For example, a manufacturer may want to cleverly filter data in a car to reduce the amount of data transmitted to the cloud-for example, only extract data from specific sensors (engine operating temperature, etc.).
Of course, FleetWise can still collect all sensor data if necessary, and the decision is always in the hands of the automaker.
In addition, Mike Tzamaloukas, General Manager of AWS Automotive Division, pointed out:
Before using FleetWise, manufacturers must first use the open source vehicle signal specification in order to describe and properly model the vehicle machine sensors, which has already been adopted by some car manufacturers.
Then, AWS will provide automakers with the source code for interacting with FleetWise and collecting data for developers to obtain, modify according to actual needs, and place it in the overall construction of the vehicle gateway.
In this way, engineers can easily carry out collection activities to extract real-time data from the fleet.
Mike Tzamaloukas explained:
The possibilities for data collection activities are endless, and we are pushing the limits of this task because it is not only based on time or mere events, but intelligent data filtering for the entire fleet.
We hope to provide automakers with the ability to extract terabytes of data generated by different cars with a higher signal-to-noise ratio.
If all goes well, AWS FleetWise will be fully available in 2022, and mass-produced models with built-in functions will be launched around 2024.
In addition to automakers at the back end of data collection, car owners at the front end can also use FleetWise to view more detailed monthly vehicle health reports.
As for AWS for Automotive, Dean Phillips, who is in charge of the program, believes that it will be a way to demonstrate the capabilities of the AWS industry.
We are very excited about the automotive-oriented AWS application because it really helps to clarify to our customers the ability to obtain different solutions from Amazon’s cloud services.
For example, automakers can choose solutions for different fields as needed, from brief autonomous driving mobile services to product engineering support, supply chain tracking, and other digital customer engagement solutions.
