汽车测距面临技术瓶颈,cmos图像传感技术前来相助（Automobile distance measurement faces technical bottleneck, and CMOS image sensing technology comes to help）.doc

汽车测距面临技术瓶颈,cmos图像传感技术前来相助（Automobile distance measurement faces technical bottleneck, and CMOS image sensing technology comes to help） You may think the machine vision system is perfect when the car is now able to alarm the obstacle when it is reversing, and can give you directions when you can automatically Park in parallel. But thats not the case. In fact, all of the above features of the car use only a small part of the vision system technology. More new CMOS sensor chips are emerging, which can sense the spatial depth directly through the 3D point to point, allowing the machine vision system to detect targets and react correctly. Car 3D cameras emerge According to ABI Research research, the current automotive sensor market has reached the size of 2 billion 500 million U. s.dollars. According to FrostSullivan, the Association for automatic imaging and Piper Jaffray, the total market for sensors in areas such as safety, industry, automation and video games has reached $750 million. The current automotive system uses ultrasonic sensors to calculate distances, such as the ability to alarm an obstacle when the driver is reversing. At present, in the development of more sophisticated and expensive sensor is the use of radar and laser radar to achieve this function, but all companies in the world are trying to lower cost with the camera to calculate the distance. The mobile phone industry has enabled digital cameras to scale economies, which makes it possible to compete against analog sensors at cost. ABI Research senior analyst David Alexander said: the whole industry all the people want to use digital cameras instead of more expensive ultrasonic, laser radar and radar sensor, the first is because digital camera cost is so low, second is because of the different driver assistant functions can use the same camera or even the same dedicated computer chips and software to calculate the distance. Machine vision algorithm and 3D camera can realize many functions, including