Gasgoo Awards 2022 applicant: 4D Imaging Radar from MUNIU TECH

For the Gasgoo Awards 2022, 4D Imaging Radar from MUNIU TECH has applied for the Top 100 Players of China's New Automotive Supply Chain. 

Photo credit: MUNIU TECH

Product: 4D Imaging Radar

Description

Accurately identify static targets, support the calculation of the height of the object relative to the road, capture the spatial coordinates of the targets around the vehicle, provide more realistic path planning and passable space detection functions, and then determine whether the vehicle can safely pass through the detected object;

It can distinguish whether the target is a pedestrian or a motor vehicle in real time;

High precision range resolution, which can distinguish two people close to each other and two parallel cars in the distance;

Support accurate and synchronous detection of the moving speed of different targets, and the detection distance can reach 150m. This information is very important in safe driving decisions related to route planning, such as automatic emergency braking and adaptive cruise control, so as to avoid false braking and missing braking to the greatest extent;

Similar to the high-resolution and high-density point cloud information of lidar.

Photo credit: MUNIU TECH

Unique advantages

I79 (4D imaging radar) has strong hardware configuration and computing power. It adopts the imaging method of combining virtual and real aperture, and comprehensively optimizes the aperture transformation, the number of transceiver channels, algorithm architecture and operation efficiency, so as to achieve higher point cloud density, stronger target resolution and recognition ability, maintain the high cost performance and reliability of millimeter wave radar, and obtain high resolution similar to laser radar High density point cloud information and stronger robustness than lidar.

Application

It is applicable to ADS, AVPA, self drive and above.

Prospect

I79 will become a key component of high-order automatic driving. It can perfectly solve the three core pain points of "sensing stationary objects, sensing geometric contour and sensing height", and the price is much lower than that of lidar.