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QCraft unveils autonomous driving solution brand, urban NOA achievements

Gabriella From Gasgoo| November 03 , 2022 14:18 BJT

Beijing (Gasgoo)- China’s autonomous driving solution developer QCraft announces the name of its Driven-by-QCraft solution, Chengfeng ("riding the wind" in Chinese), as well as its latest technological achievements at the company’s first technology workshop event. 

QCraft unveils autonomous driving solution brand, urban NOA achievements

Photo credit: QCraft

The Chengfeng solution integrates the company’s most advanced full-stack autonomous driving software and hardware technology, and comprehensively boosts the mass production and application of urban NOA function. According to the co-founder and CTO of QCraft, Hou Cong, the company sees urban NOA as the ceiling of assistance driving and the threshold of autonomous driving. 

On the premise of ensuring safety, QCraft insists on creating urban NOA solutions that cover more scenarios with higher cost performance. The company sees an urban NOA solution powered by one LiDAR unit as the most practical solution to achieve at the current stage. The company's advantages in perception, PNC, and other underlying software and hardware architectures, as well as its long-term accumulation in data-driven R&D mode, provide comprehensive technical support for accelerating the mass production and application of urban NOA.

As the eyes of urban NOA solution, QCraft proposed the China’s first mass-produced computing platform large model which can realize the feature and timing fusion of vision, LiDAR, and millimeter-wave radar, the OmniNet.

Compared with traditional solutions, the OmniNet can provide richer and more accurate environment sensing results with effectively improved accuracy, saving 2/3 of the typical computing power consumption, while complying to the requirements of automotive chip applications. The OmniNet adapts to different manufacturers' sensor configurations at a low cost. 

Currently, QCraft has tested its L4 autonomous driving technology on more than 1.12 million kilometers of urban roads, and accumulated rich data in L4 LiDAR, camera, and other sensors, as well as driving behavior, all of which can continuously feed the upgrade of its urban NOA capabilities.

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