With the rapid development of artificial intelligence and photoelectric technology, many technology giants have entered the field of unmanned driving, such as: Google driverless car, baidu driverless car and so on. It has made the further development and application of the autonomous driving technology.
Self-driving cars are actually the organic combination of mechanical control functions, AI technology and photoelectric technology. Here, let’s learn more about the role of LIDAR and the use of optical filters in self-driving cars.
When we look at driverless cars, we can see that there is a device on the top of the car that looks like radar, and that is the glasses of the driverless car -- the laser range finder radar. LIDAR (laser radar) systems, as opposed to passive vision (camera) systems, can be used in complex environments where light varies widely. LIDAR uses a measurements method called "time-of-flight measurement". A LIDAR scanner emits multiple beams of laser light. The laser in the LIDAR emits an ultrashort pulse of light that hits and bounces back at objects around the vehicle, calculating the object's distance. Another system at the bottom measures the acceleration, angular velocity and other data of the vehicle in three directions, and then combines GPS data to calculate the vehicle's position. All this data is fed into the computer together with the image captured by the vehicle camera, which is processed by the software at a very high speed to create a point cloud image of the surrounding environment.
Nano Macro Photonics, as a high-tech oriented optical components production enterprises, has developed many kind of the laser ranging radar filters for laser radar (LIDAR): 808 nm bandpass filter, and 850 nm bandpass filter, and 940 nm bandpass filter, 1550 nm bandpass filter and other filter. For the research and development of LIDAR, we also work with a number of optical teams to produce and develop customized optical filters for different needs.
Q: what is the difference between lidar and passive vision (camera) systems?
A: the passive vision (camera) system relies on complex algorithms for ranging, and requires higher requirements for environmental light changes, and its accuracy need to be further dialectical; Lidar uses the principle of time of flight for ranging which is with high accuracy.