This product integrates high-performance AI chips, supporting 11-channel high-definition cameras (up to 8 megapixels), 5 millimeter-wave radars, 12 ultrasonic radars, and 1 LiDAR‌. It enables L2++-level autonomous driving capabilities, including Highway NOA, Urban NOA, and Memory Parking‌. Additionally, the product supports OTA updates, laying the foundation for continuous iteration and enhancement of intelligent driving software functions‌.

Front-view Integrated System‌ offers multiple chipset solutions, equipped with an 8-megapixel front-view camera for visual perception. Supporting 1VnR sensor configurations, it performs data acquisition and processing, decision analysis, and output, enabling L2 and lower-level driving assistance functions such as AEB , FCW , ACC , TJA , AES , and ELK .

With the continuous increasing of SoC performance and camera de finition, the function of around view monitoring system is becoming enriched and mature. In addition to display a clear picture around the vehicle, it can also achieve many functions such as parking space recognition, parking guidance, and transparent chassis display.

As one of the main scenarios of low-speed autonomous, auto parking assistance can increase the intelligence and safety of the vehicle. With the help of the fusion of camera and radar, the product can realize multiple types of parking space detection, dynamic path planning, automatic parking in and out, etc., solving more than 90% of parking troubles.

V2X plays an important role in future smart traffic and city. ADAYO 5G-V2X box realizes intercommunication among vehicles, infrastructure, pedestrians and cloud for acquisition of series of traffic information such as real-time traffic and pedestrian conditions, so as to enhance driving safety, reduce jamming and improve traffic efficiency.

The combination of high-precision positioning and high-precision maps can provide sub-meter to centimeter-level high-precision location information for high-level autonomous passenger vehicles. It plays a pivotal role in the autonomous driving industry, which is an edge tool for autonomous driving L3 and above.