Full Stack Software and Hardware Technology Capability
Providing Highly Competitive Intelligent Driving Products

Ensure that the product establishes a solid bridge between the upper and lower limits of technology, pursuing cutting-edge breakthroughs in technology while strictly controlling the controllability of engineering implementation. Through the phased and modular implementation strategy, not only the continuous evolution of intelligent driving functions has been realized, ensuring the progressiveness of technology, but also the steady landing of each step has been ensured, making the engineering practice more reliable and safe.

The collaborative operation of data mining algorithms on the vehicle and cloud can capture and accumulate massive long tail scene data in real time, and continuously iterate and optimize the model. Cloud automation processing can quickly generate accurate annotation results, providing strong basis for software evaluation and version upgrades. Unified data storage, filtering, labeling, training, and evaluation are completed by the cloud, forming a complete data loop. Relying on the powerful computing and storage capabilities of the cloud, it is possible to quickly train, validate, and update autonomous driving models, efficiently deploy them on the vehicle, and significantly shorten the cycle from data collection to model implementation.

Based on the Horizon Journey intelligent acceleration engine BPU (Brain Processing Unit) Nash, the high frame rate processing capability (high FPS) and high memory data transfer rate (high DDR bandwidth) of BPU are fully utilized, greatly improving the real-time and efficiency of data processing, and providing powerful computing power support for game interaction deduction in intelligent driving. Whether it is the analysis of complex road environments or the prediction of high-speed traffic participant behavior, the computing platform can ensure accurate and rapid decision output, laying a solid foundation for the safety and intelligent performance of autonomous driving.