In recent years, lidar technology is developing rapidly. From the beginning of laser ranging technology, it has gradually developed laser velocity measurement, laser scanning imaging, laser Doppler imaging and other technologies. Now lidar has appeared in the fields of unmanned driving, AGV, robot and so on. With the rise of driverless, robot and other fields, the small editor of industrial mining network will join you to understand the application analysis of key technologies of lidar sensor in autopilot and UAV.
Automatic driving field
Speaking of vehicle lidar, it originated from an autonomous vehicle challenge of the international advanced research projects bureau. The purpose of this competition is to encourage the development of fully autonomous vehicles on the ground. As we all know, human driving must first use the eyes and ears to perceive the surrounding environment. The same is true for auto driving. It needs sensors to perceive the surrounding environment. At present, with the prosperity of intelligent driving industry, lidar sensor market has become hot. Especially in the year of 5g.
2019 is the first year of 5g. At present, 56 operators around the world have announced the deployment of 5g networks, and more than 41 manufacturers have announced the launch of 5g terminals. On June 6 this year, the Ministry of industry and information technology issued 5g commercial licenses to China Telecom, China Mobile, China Unicom and China Radio and television, marking China’s official entry into the “5g era”. There is no doubt that the road of 5g commercialization is getting closer and closer. For automobiles, 5g blessing and automatic driving will redefine the automobile industry. The promotion of 5g commercialization process will contribute to the rapid development of automatic driving industry. Partners who pay attention to automatic driving should find that L2 is gradually mature, L3 boom fades, and L4 is in progress. That’s because L2 is gradually mature, but it can’t liberate its hands after all; L3 was once popular, but it has high cost, difficult research and development and general functionality, so it shows the trend of fading; L4 (advanced automatic driving) often appears with 5g at the same time. The emergence of 5g will accelerate the realization process of automatic driving L4. It has become the autopilot we really want.
Only a few years ago, the UAV detection system needed the cooperation of aircraft, large lidar sensors and crew to complete the image capture. Through the airborne lidar sensor and complex software, the lidar image can be processed quickly in the clouds to provide decision-making reference for users. With the rapid development of lidar sensors, this phenomenon has been greatly improved. Next, learn about the relevant uses of UAV lidar sensor.
1. UAV anti-collision radar sensor
Lidar sensor adopts accurate positioning and safe navigation technology, has obstacle detection function, and can identify and avoid obstacles.
2. Surface image lidar sensor
Based on integrated optical altimeter technology, this laser sensor can provide accurate distance measurement above ground level.
3. Lidar structure detection
Lidar sensor has powerful built-in signal analysis technology, new line of sight and multi-section measurement function. It can measure the main distance values and efficient obstacle detection data, so as to realize safe navigation during structural inspection.
4. Lidar sensor at night
Lidar sensor can work in low visibility or at night, so it can improve the success rate of avoiding obstacles.
Lidar and sensor fusion
With the continuous advancement of intelligent driving, the number of on-board sensors is increasing rapidly. In the future, we need more secure, reliable and high-performance simultaneous interpreting of different sensors to build a better and reliable perception of our environment, including cameras, millimeter wave radars and lidar.
Among the three main sensors, millimeter wave radar is undoubtedly important. In addition to being cheap, it can penetrate dust and fog, rain and snow and is not affected by bad weather; The camera cannot be replaced, but although the camera has a shape, it is two-dimensional and the recognition accuracy is not enough; Lidar has a long detection distance, can accurately obtain the three-dimensional information of the object, and has strong identification and measurement ability. However, millimeter wave radar and monocular camera are deficient. However, lidar also has its weaknesses, such as being vulnerable to extreme weather such as rain and snow, but on the whole, its market potential is still considerable. The two lidars ce30-a and tf02 provided by the industrial mining network can be well applied to the scenes of autopilot and UAV.
The solid-state area array lidar ranging sensor ce30-a uses TOF (time of flight) for ranging. It will emit modulated near-infrared light. The light will be reflected after meeting the object and received by ce30 again. Ce30 converts the distance of the photographed scene by calculating the phase difference and time difference between light emission and reception.
Responsible editor: CT