Baidu selects Elektrobit to partner for Apollo
Baidu and Elektrobit (EB) signed a strategic partnership in which EB will provide automotive infrastructure software for the Apollo Computing Unit (ACU), Baidu’s in-vehicle computing platform for autonomous driving.
The ACU is the hardware component of Baidu's Apollo open autonomous driving platform, which is being developed with over 100 industry partners, including Chinese automakers.
EB is providing its EB tresos automotive basic software products to the ACU’s Level 3 Automated Valet Parking project. EB tresos enables the development of AUTOSAR standard-compliant software for automotive electronic control units (ECUs) with functional safety levels up to ISO 26262 ASIL D. EB expects the software to allow car manufacturers and suppliers using ACU to expedite the market introduction of safe and secure systems for Level 3 Automated Valet Parking.
“EB is an important strategic partner and plays an integral role in Baidu’s ongoing efforts to accelerate the intelligent transformation of the automotive industry,” said Dr. Xing Yuan, General Manager, Autonomous Driving Series Production and Commercialization, Baidu. “Elektrobit’s software is cutting-edge in terms of capabilities and adheres to the absolute highest quality and safety standards in the industry. EB will be deeply engaged with the Baidu Apollo team.”
“Baidu Apollo has made tremendous strides in just two years since its launch, with support from leaders in the automotive industry, in China, and around the world,” said Alexander Kocher, President and Managing Director, Elektrobit. “China is an important and strategic market for EB; therefore, we are glad to bring our products and experience into the Apollo platform. We are extremely proud to be a partner and look forward to working with Baidu as well as the whole industry to accelerate the development of automated driving based on Apollo.”
Elektrobit is also working with Baidu Apollo in further areas and recently published a joint whitepaper on reliable and safe maps for automated driving.