Software tools enhance data services between vehicles and cloud
LONDON — Renesas Electronics has introduced a new software development toolset enabling applications based on its R-Car automotive system-on-chip (SoC) to combine dynamic vehicle data and cloud-based data in real time to deliver new services such as predictive driving support and infotainment applications.
It's currently difficult or impossible to carry out in-vehicle testing when developing applications that utilize vehicle-generated data — such as driving status and driver status — and correlating that with cloud-based data, which might include construction, congestion, road conditions, and weather reports and maps, according to Renesas. The company says its new Connected Car Software Development Tools enable out-of-the-box development of connected vehicle applications utilizing cloud services at the edge rather than the traditional approach of simply connecting the vehicle to the cloud.
To link the cloud and the edge, Renesas has adopted Amazon Web Services’ (AWS) cloud services and Greengrass for its software development tools. The software development tools have been validated by both AWS Greengrass and AWS IoT core and have been tested to run on the R-Car Starter Kit under the Automotive-Grade Linux environment.
The new Renesas tools comprise a simulator that can generate vehicle data from the accelerator, brake pedals, and the steering angle; an edge controller that maintains the vehicle data; a vehicle application programming interface (API) that links with applications such as driver monitoring; and interfaces that connect vehicle data to the cloud.
>> Continue reading this article on our sister site, EE Times: "Toolset Enables Connected Vehicle Applications."