2022 Chengdu Auto Show new car release: Great Wall Motors' WEY brand Mocha DHT-PHEV LiDAR version (with actual photos)

Wei brand new Mocha DHT-PHEV LiDAR edition debuts at Chengdu Auto Show under Great Wall Motors

As a vehicle model with the responsibility of landing the assisted driving functions for urban scenarios, the assisted driving hardware of the Mocha DHT-PHEV LiDAR edition will become particularly important.

The sensing hardware of the Mocha DHT-PHEV LiDAR edition includes:

  • 12 cameras
  • 5 millimeter-wave radars
  • 12 ultrasonic radars
  • 2 125-line LiDARs
  • Qualcomm Snapdragon Ride intelligent driving computing platform, with a single-board computing power of 360 TOPS

The Mocha DHT-PHEV LiDAR edition uses two M1 LiDARs from Suteng Juchuang, which are also the same models used in the XPeng G9, the WM Motor M7, and the Lotus Eletre.

The farthest detection distance at 10% reflectivity is 150 meters, with a horizontal market angle of 120° and a vertical field of view angle of 25°. It is worth mentioning that this LiDAR has a “zoom” function, which can increase the scanning frequency in key driving areas to improve point cloud density.

Based on the cooperation between Great Wall Motors and Qualcomm Technologies, the Mocha DHT-PHEV LiDAR edition will be equipped with the Snapdragon digital chassis solution, the Snapdragon Automotive Intelligence Platform, and the third-generation Snapdragon cockpit platform.

The Mocha DHT-PHEV LiDAR edition will utilize the Snapdragon Ride platform to support both ADAS and AD systems, becoming the first vehicle in China to be equipped with the Snapdragon Ride platform.As an extendable and low-power high-performance platform, Snapdragon Ride platform is suitable for ADAS and AD systems at all levels, supporting solutions from NCAP regulation to mass production solutions for highly automated driving. The WEY Mocha DHT-PHEV LIDAR edition is equipped with Snapdragon Ride platform, using 5nm ADAS SoC and accelerator combination, capable of supporting the processing of data from more than 12 cameras, multiple radars, and LIDARs for the vehicle model.

This article is a translation by ChatGPT of a Chinese report from 42HOW. If you have any questions about it, please email bd@42how.com.