The unmanned bottom support can be divided into three parts: sensors, high-precision maps and computing platforms. In terms of sensors, mainstream sensors are divided into: millimeter wave radar, laser radar and camera. Its role is as follows:
Camera: Direct recognition of visible light, moderate price, mature technology, can identify pedestrians, vehicles, road signs and other objects, but is susceptible to visual field, night dark light, rain and snow weather and other factors.
Lidar: Wide detection angle, high precision, centimeter-level precision laser radar combined with high-precision map can achieve high-precision self-positioning and object recognition tracking, positioning can be accurate to specific lanes, but expensive, short service life.
Millimeter wave radar: Measuring distance is long, it can work stably in various harsh environments such as rain and snow, but the accuracy is not high.
Unmanned sensors used for control are either cameras or laser radars, which is a consensus in the industry. What is a laser radar? What is the role of drone driving?
Lidar works by detecting, reflecting, and receiving visible and near-infrared light waves (infrared light near the 950 nm band). Lidar can detect the distance between a specific object and the car during day or night. Due to the difference in reflectivity, the lane line and the road surface can be distinguished, but the occluded object and the object that the beam cannot reach can not be detected, and the performance is poor in rain, snow and fog.
Lidar has two core roles in driverless operation. 3D modeling for context awareness. Laser scanning can be used to obtain a 3D model of the surrounding environment of the car. It is easier to detect surrounding vehicles and pedestrians by using correlation algorithms to compare the changes of the previous frame and the next frame environment.
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