The object is imaged by the imaging objective lens under the illumination of the external illumination light to form an optical image with a two-dimensional light intensity distribution. The laser pointer is then converted into an electronic signal by an image sensor. Afterwards, these electronic signals are amplified and synchronized controlled by the image data processing system and sent to the image display to see the two-dimensional optical image of the object, thereby providing accurate driving environment information for the autonomous vehicle.
In the automotive field, image sensors are mainly used in automotive vision systems, such as reversing image, front view, overhead view, panoramic parking image, vehicle mirror replacement, driving recorder, forward collision warning, lane departure warning, traffic signal recognition, pedestrian Detection, adaptive cruise control, blind spot detection, and night vision to ensure that the visual system can clearly identify lane lines, vehicles, obstacles, traffic signs, etc. under various weather and road conditions.
According to the different components, image sensors can be divided into three types: CCD, CMOS and CIS. In the early days, as a green laser pointer solid-state image sensor, CCD has always dominated the image sensor market because of its advantages such as small size, high resolution, high sensitivity, and high image quality. However, there are also some problems behind the high image quality of CCDs, such as high cost, which has led to lower cost and lower power CMOS sensors.