Elektrobit (EB), a supplier of embedded and connected software products for the automotive industry, announced a cloud-based tool for end-to-end validation of advanced driver-assistance systems (ADAS) and autonomous driving (AD) systems. Available on Microsoft’s cloud platform Azure, the new EB Assist Test Lab provides distributed teams with a single solution to more easily manage petabytes of driving-scene data generated in real and simulated test drives during the validation and verification process, collaborate and ultimately bring latest features into production more quickly.
Today, automotive engineering teams are forced to use multiple, often unaligned, tools to handle the complete validation and verification process. As automotive systems become increasingly more complex and data intensive, the process has become correspondingly more challenging and convoluted. Scaling these complex systems is especially problematic. Those involved with the process—which can range from test drivers and engineers to data scientists, IT pros and project managers, among others—are typically located in different parts of the world, which makes data orchestration even more difficult.
EB Assist Test Lab offers a unique, end-to-end approach to validation and verification, providing a “one-stop shop” solution integrating tools that are already on the market and in use with additional functionality to cover critical gaps. It covers the entire testing cycle, from data collection to data analysis, including optimized processes for collaboration, integration with third-party tools and services, data processing and management, and more. The combined goals of improved workflow, increased efficiencies and ultimately accelerated schedules are all realized in the new EB product.
In collaboration with cloud partners such as Microsoft and data center providers like Equinix, EB Assist Test Lab is infinitely scalable, able to handle the vast and growing amounts of data generated by today’s increasingly complex systems equipped with radar, Lidar and high-resolution cameras. Data collections per vehicle per day currently average hundreds of megabytes per second, and are expected to increase to multiple gigabytes per second in the next generation.
