FIR Technology: the key to the mass market of fully autonomous vehicles
richmor
richmor.net
2018-05-31 18:18:12
With the rapid development of automatic driving technology, the automobile industry is undergoing tremendous changes. While top auto makers and technology companies are planning independent innovation, a very important part of the vehicle autonomy is to develop sensors that enable cars to "see" the world around and respond better to human driving.
The sensing technology, such as LiDAR, radar and camera, has the perception problem, and the driver is always ready to control the car. For this reason, the effect of the sensor is strengthened in quantity and ability; to achieve 3-5 level autonomous driving, vehicles need more sensors and more effective sensors.
Defect of current sensor
Radar sensors are far from detectable, but they cannot identify objects. Although the range is close, it can take pictures of objects. Therefore, the combination of radar sensors and cameras can provide further coverage and clearer picture for autopilot vehicles.
LiDAR (optical detection and ranging) is also one of the sensors for autopilot. Similar to radar, LiDAR emits light or laser and calculates the distance from objects by reflection. Obviously, the LiDAR sensor is better than radar and camera, but because of the high cost of LiDAR, it still can not become the mainstream sensor.
Apart from the lack of visibility, another major obstacle to achieving autonomous driving is environmental factors. In bad weather conditions, sensors will be affected to a certain extent. In addition, when a vehicle enters or exit the tunnel, the camera and the lidar sensor may be temporarily blind, just as the eye of a human driver needs a few seconds to adapt to the sudden dark or bright lighting.
There are also problems in providing ready image monitoring. Although cameras can monitor people, they can't tell whether they are real persons or advertisements or images on buildings.
The sensing technology, such as LiDAR, radar and camera, has the perception problem, and the driver is always ready to control the car. For this reason, the effect of the sensor is strengthened in quantity and ability; to achieve 3-5 level autonomous driving, vehicles need more sensors and more effective sensors.
Defect of current sensor
Radar sensors are far from detectable, but they cannot identify objects. Although the range is close, it can take pictures of objects. Therefore, the combination of radar sensors and cameras can provide further coverage and clearer picture for autopilot vehicles.
LiDAR (optical detection and ranging) is also one of the sensors for autopilot. Similar to radar, LiDAR emits light or laser and calculates the distance from objects by reflection. Obviously, the LiDAR sensor is better than radar and camera, but because of the high cost of LiDAR, it still can not become the mainstream sensor.
Apart from the lack of visibility, another major obstacle to achieving autonomous driving is environmental factors. In bad weather conditions, sensors will be affected to a certain extent. In addition, when a vehicle enters or exit the tunnel, the camera and the lidar sensor may be temporarily blind, just as the eye of a human driver needs a few seconds to adapt to the sudden dark or bright lighting.
There are also problems in providing ready image monitoring. Although cameras can monitor people, they can't tell whether they are real persons or advertisements or images on buildings.
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