Breakthrough In The Field of All Solid Green Laser Pointer Radar

Some people refer to 2018 as the first year of commercialization of autonomous driving, and China’s progress in this field is even more interesting. On April 12, the Ministry of Industry and Information Technology, the Ministry of Public Security and the Ministry of Transport and the Ministry of Transport issued the “Intelligent Network Linked Vehicle Road Test Management Regulations (Trial)”. Just one month before the release of this road test specification, Shanghai issued the “Shanghai Intelligent Network Linked Vehicle Road Test Management Method (Trial)” and issued road test number plates to the two companies. This is China’s first batch of intelligent networked car open road test number plate. Up to now, five cities in China have announced relevant policies for autonomous driving road testing. The “breaking ice” on the road test policy will greatly stimulate the confidence of the green laser pointer industry and accelerate the pace of commercialization.

In order to achieve the ideal automatic and safe driving of an autonomous vehicle, it is a prerequisite to have a sensitive and accurate sensing system. The reporter learned that as a necessary sensing system for autonomous driving, the development and testing of the green laser pointer radar is becoming a hot spot, and the all-solid-state laser radar, which represents the future development direction of the laser radar, is expected to help Chinese enterprises achieve breakthroughs in this field.

According to the level of automatic driving L1 – L5, L3 and below are auxiliary driving or low-level automatic driving, L4, L5 can be regarded as high-level automatic driving. The current autonomous driving is in the L3 stage, and there are three types of sensing systems that can be used in autonomous driving: microwave radar, video sensing and laser radar.

Liu Bo, a researcher at the Institute of Optoelectronic Technology of the Chinese Academy of Sciences, is mainly engaged in the research of green laser pointer radar remote sensing. He believes that the above three kinds of sensing systems have advantages and disadvantages for autonomous driving. Microwave radar, also known as millimeter wave radar, has the advantage that the detection is not affected by the weather and the cost is low. The shortcoming is that the resolution is not high, the details of things cannot be distinguished, and the response to non-conductor obstacles is weak; video perception is the camera, the resolution is relatively high, and the detail information is rich, but the imaging is a planar two-dimensional image, even if binocular is used. Vision, the distance error is relatively large at a distance; Lidar is widely regarded in the industry and is the main sensing system for achieving high-level automatic driving. The advantage is that the distance resolution is high and the accuracy is high. The deficiency is that the performance is affected by bad weather such as haze, and the cost is high. “The higher the resolution, the more data the laser radar will transmit back to the decision system. During the high-speed driving of the vehicle, the amount of data obtained by the lidar scanning is very large, which also puts a lot of effort on the processing ability of the automatic driving decision system. The challenge.” Therefore, Liu Bo believes that in the future, autonomous vehicles that can achieve mass production will not use only a single technology, but should use multiple sensors to combine the advantages of several technologies.