Based on deep learning technology, it covers the entire chain of intelligent driving, achieving full-stack self-research and development from perception, multi-modal fusion, high-precision positioning to planning and control, breaking through the technical bottlenecks of the industry. Support BEV (bird 's-eye view) pre-fusion perception and end-to-end algorithms, combined with a self-developed model training framework, to ensure the high reliability and real-time performance of the algorithm in complex scenarios, and adapt to the diverse needs of passenger cars, commercial vehicles, etc.

Schematic diagram of the deep neural network structure