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Various functions of ADAS advanced driver assistance calibration equipment
- 2019-06-06-

ADAS advanced driver assistance calibration equipmentVarious functions

1. Parking assistance system

ADAS's parking system has benefited many novices who don't know how to park. Parking assistance systems are divided into two types: active and passive. The former system automatically controls the steering wheel to help the driver complete parking. Of course, the accelerator, brake and gear shift still need to be controlled by the owner. The latter consists of image (camera) and video (ultrasonic) sensor units, providing more information about the vehicle's surroundings to the owner and reducing the chance of collision.

2. Lane Departure Warning System LDW

The system consists of a camera, a sensor and a controller. The principle is to use a camera or a nearby car rearview mirror to sample lane markings, and then obtain the current position in the lane through image processing. As long as the car deviates from the lane, the controller will send out an alarm signal. It takes about 0.5 seconds from the sensor to the alarm, providing real-time warning to avoid accidents.

3. Blind spot detection system

The blind spot of a car driver refers to the invisible areas on the three sides of the rearview mirror, the left side, the right side, and the inside. I believe many drivers have a deep impression of blind spots, and it is also one of the most common accidents. The blind spot detection system uses radar and sensors to detect the blind spot behind the vehicle. When the blind spot detects a vehicle approaching, the driver will receive an alarm to help the driver minimize the probability of an accident.

4. Night vision system

It can help drivers automatically identify animals or large foreign objects at night when vision is unclear or weather is bad, and warn drivers of road conditions ahead to avoid accidents. The identification method uses infrared rays to sense thermal differences and distinguish between people, animals, vehicles and the environment. After processing, the image is transformed to clearly present previously invisible objects to the driver, thereby reducing driving risks.