The car cameras is the main visual sensor of the ADAS system. After the image is collected through the lens, the image is processed by the photosensitive component circuit and the control component in the camera and converted into a digital signal that can be processed by the computer, so as to realize the perception of the surrounding road conditions of the vehicle. ADAS functions such as forward collision warning, lane deviation warning and pedestrian detection. At present, car cameras play a pivotal role in ADAS and driverless technology.

As radar technology is mature and not affected by weather conditions, radar/lidar has become the mainstream of the market. However, with the development of ASIC (application specific integrated circuit) and the improvement of image processing algorithms, at the same time, because radar technology has a relatively high accuracy in distinguishing metal obstacles, it is unable to distinguish non-metal obstacles such as pedestrians. And it cannot accurately identify vehicles coming from the side, and cannot identify lanes, debris or road potholes. The visual processing technology of the camera can better distinguish information such as signs and pedestrians on the road, and can also calculate the movement trajectory of pedestrians and vehicles through algorithms. Compared with radar technology, the cost is lower, the function is more comprehensive, and the accuracy is also higher. Relatively high.

car cameras imaging technology has gradually become popular. Considering the limitations of camera pixels on image recognition technology and the extreme level of fog and rain, its functions have been reduced. Camera-based sensor fusion will become the mainstream. From bottom to top, the vehicle network architecture is the perception layer, the network layer and the application layer, which are distributed for information collection, transmission and processing functions.



Car DVR is also called car video recorder, which is based on the application of digital video compression storage and 3G wireless transmission technology, memory GPS, car black box and other technologies. The in-vehicle IP Camera is based on digital signal processing technology (DSP) and network technology. The CMOS image sensor converts the light signal of the scene into electrical signals. After these electrical signals are converted into digital information, they are transmitted to the DSP memory through the data interface to complete image compression, At the same time of encoding, the data stream is sent to the hard disk or other storage devices for storage.

car cameras have a wide range of applications. According to the application fields, they can be divided into driving assistance (driving recorder, ADAS and active safety system), parking assistance (whole-vehicle surround view), and monitoring of people in the car (face recognition technology). The whole process from driving to parking, therefore, has higher requirements on the working time and temperature of the camera. According to the installation position, it can be divided into four parts: front view, rear view, side view and interior monitoring. Currently, front-view and rear-view cameras are the most widely used. As the penetration rate of ADAS systems increases and technologies such as face recognition are used in the field of automotive electronics, in-car and side-view cameras will be further used.