FABU Technology Ltd., an artificial intelligence (AI) company, claims to be the only major AI company in China to build a complete technology solution for autonomous driving and has deployed its autonomous driving technologies on the road. Beginning in 2017, five light trucks outfitted with a FABU Level 4 autonomous driving solution have self-driven a daily 160-mile round trip route on the streets and highways of Zhejiang province in China. The trucks have completed nearly 50,000 km (31,000 mi) of safety tests in all weather conditions, reportedly achieving a camera and sensor perception range of 200 m (650 ft) and obstacle detection accuracy of 97%. In the next phase of road testing, FABU plans to implement its AD technologies in vans and heavy trucks.
“Generic, off-the-shelf chips may lack the necessary performance, or require too much power, or are not qualified for automotive safety standards,” said Xiaofei He, Founder and CEO of FABU. “To best optimize for performance, power, and cost, FABU designs its own dedicated, intelligent SoCs for the ultimate integrated solution for in-vehicle intelligence.”
To meet the specialized data processing requirements of ADAS and AD, FABU says it has developed a new architecture made-to-order for deep learning and AD algorithms, called the Massive, Parallel and Volumetric (MPV) architecture. The MPV design facilitates creation of large-scale computing modules that provide programmable and resilient architecture support for key AD and ADAS capabilities such as sensor fusion, object identification and tracking, event forecasting, and planning. Chips based on the MPV architecture are also optimized for high performance efficiency and low power consumption.
FABU’s Phoenix series of automotive safety integrity level AI chips are meant to encompass the full algorithmic requirements of autonomous driving by addressing three stages of AD data processing: sensor input and perception, sensor data integration and fusion, and smart automated decision making. The key component for the Phoenix-100, the deep learning accelerator, conducts real-time, high-precision 3D perception of the environment and was successfully taped out with silicon functionality verified in late 2018. FABU plans to launch its automotive-grade sensor fusion chip Phoenix-200 in 2019 and its Phoenix-300 automated decision-making chip in 2020. By developing and integrating this series of AI chips, FABU says it will establish a driverless computing platform named The Phoenix, which will extend autonomous driving capabilities from SAE Level 3 to Level 5.