Baidu has announced that it plans to work with Mobileye to integrate and commercially deploy Mobileye’s Responsibility Sensitive Safety (RSS) model in both the open source Project Apollo and commercial Apollo Pilot programs.
The Chinese Search engine giant also announced plans to adopt Mobileye’s Surround Computer Vision Kit as the visual perception solution; it will be integrated as part of Baidu’s proposition to the Chinese OEM market.
The safety collaboration between Mobileye, an Intel Company, and Baidu is a significant strategic success for Mobileye’s RSS model, which was published last year, and will help deliver a safe driving solution for autonomous vehicles (AV) on China’s challenging roadways.
“Our team recognizes the value and critical role that Mobileye’s RSS model plays in safely deploying autonomous driving. Project Apollo will integrate RSS to successfully enable safe driving today, and drive further autonomous research on China’s roadways,” said Weihao Gu, GM of Baidu’s Intelligent Driving Unit
For those unaware, Apollo is designed to be “an open, secure and reliable self-driving ecosystem” that can help members of the autonomous driving industry quickly build their own complete autonomous vehicle systems. RSS is an open and transparent formal model that provides safety assurance of AV decision-making.
The Mobileye Surround View Camera kit includes 12 cameras positioned around the vehicle plus Mobileye’s computer vision (CV) hardware and software, which leverages the cameras combined view into a unified and comprehensive CV solution for autonomous cars.
The decision-making systems in autonomous vehicles today are based on AI. Baidu and Mobileye will collaborate on the verification of RSS’s formal model to the unique driving styles and road situations of the China market, and will jointly publish updates to the RSS model as this work results in new discoveries.
For those unaware, RSS formalises human notions of safe driving into a verifiable model with logically provable rules and ensures that only safe decisions are made by the automated vehicle and that the automated vehicle will do everything it can to avoid being involved in unsafe situations initiated by others.