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The importance of car camera for autopilot
Jun 08, 2018

ADAS system solutions include camera solutions, radar/lidar solutions, and sensor fusion. In the early stage of market development, car camera radar/LIDAR solutions are the mainstream because radar technology is mature and weather conditions are not affected. However, with the development of ASICs (application-specific integrated circuits) and the improvement of image processing algorithms, and because radar technology has a high accuracy in discriminating metal obstacles, it is incapable of distinguishing non-metallic obstacles such as pedestrians and cannot accurately recognize them. Vehicles coming from the side, and cannot distinguish lanes, debris or road pits.

The visual processing technology of the camera can better distinguish the information such as signs and pedestrians on the road, and can also calculate the action trajectory of pedestrians and vehicles through an algorithm. Compared with radar technology, the cost is lower, the function is more comprehensive, and the accuracy is higher. The technology based on camera imaging has gradually been accepted by mainstream manufacturers. Taking into account the limitations of the camera's pixels on the image recognition technology and the reduction of functions in extreme conditions such as fog and rain, car camera sensor fusion based on cameras will become the mainstream.

From the bottom up, the car networking architecture is the perception layer, network layer, and application layer, which respectively serve as information collection, transmission, and processing functions. The video acquisition and storage (perceptual layer) is the underlying architecture of the car network. car camera The main technologies are car DVRs and car IP cameras. Car DVR commonly known as car video recorder, is based on digital video compression storage and 3G wireless transmission technology, internal GPS, automotive black box, CANbus, G-SENSOR and other technologies.

The vehicle-mounted IPCamera is based on digital signal processing (DSP) and network technology. The CMOS image sensor converts the scene's optical signals into electrical signals. These electrical signals are converted into digital signals and transmitted to the DSP memory through the data interface to complete image compression and encoding. car camera At the same time, the data stream is sent to a hard disk or other storage device for storage. The distance, scalability, and cost are different compared to traditional analog systems and DVRs.

Vehicle cameras have a wide range of application space and can be divided into driving assistance (driving recorders, ADAS and active safety systems), car camera parking aids (whole-scenery) and in-vehicle personnel monitoring (face recognition technology) throughout the application area. Drive to the whole process of parking, so there is a higher requirement for camera working time and temperature. According to the installation location, it can be divided into four parts: front view, rear view, side view, and interior monitoring.


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