Home / Metal News / Haomo.ai, Qualcomm launch Snapdragon Ride-based intelligent driving solution HP370

Haomo.ai, Qualcomm launch Snapdragon Ride-based intelligent driving solution HP370

iconApr 24, 2024 15:24
Source:gasgoo
On April 23, Great Wall Motor-backed autonomous driving tech firm Haomo.ai, in collaboration with Qualcomm, unveiled the Haomo HP370 intelligent driving solution built on Qualcomm' latest Snapdragon R...

Beijing (Gasgoo)- On April 23, Great Wall Motor-backed autonomous driving tech firm Haomo.ai, in collaboration with Qualcomm, unveiled the Haomo HP370 intelligent driving solution built on Qualcomm' latest Snapdragon Ride platform (SA8620P).

Leveraging the duo’s leading ADAS and autonomous driving technologies, the HP370 stands as one of the world's first smart driving products based on the Snapdragon Ride platform. It offers carmakers a differentiated and feature-rich smart driving solution, further advancing the commercialization and implementation of intelligent driving technology on a large scale.

Several automakers have already commenced product designs based on the HP370, with plans for commercial use in upcoming mass-produced vehicle models. This collaboration marks a significant step forward for the automotive industry in promoting intelligent driving functions on vehicles with various configurations. The HP370 allows functions such as lane-keeping assistance, traffic sign recognition, and autonomous parking, across various scenarios including highways and complex urban traffic environments.

The HP370 provides dense computing power of 36TOPS, optimized for performance. This level of computing power outperforms double-sparsity computing, delivering robust system performance within compact thermal designs.

With its combination of high-performance, energy-efficient hardware, leading AI technology, and innovative intelligent driving software stack, the HP370 offers car manufacturers a high-performance, cost-effective, and energy-efficient system solution.

For queries, please contact Michael Jiang at michaeljiang@smm.cn

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