What Are The Applications Of Lidar Sensing Technology?

With the in-depth study of lidar technology by the international community, the advantages of this emerging technology are becoming more and more obvious, and have unique advantages in various industries, such as lidar in the field of unmanned vehicles, robots and unmanned vehicles.

Lidar is actively detected and imaged by laser, and is not affected by ambient light. It directly measures the distance, azimuth, depth information and reflectance of objects. The algorithm first recognizes the obstacles, and then classifies them. The recognition accuracy and reliability are far higher than the camera, and the computing resources consumed are lower than the camera.

It can be said that the most important part of the application of lidar in autonomous driving is high-precision positioning. First determine the location where you are, and then the autonomous vehicle will face the problem of "where to go". Therefore, determining "Where am I" is the first step and a very critical step. According to conventional understanding, positioning should only be a task of GPS. Indeed, GPS for automatic driving will use GPS, but the accuracy of GPS positioning is insufficient, and the signal stability is poor in the case of tall buildings or tunnels, so it is difficult to guarantee automatic driving. Vehicle safety. Therefore, automatic driving positioning needs to be combined with lidar, GPS, IMU, etc. to complete stable and reliable high-precision positioning.

The lidar hardware cooperates with the AI perception algorithm developed for autonomous driving, which can complete the tasks of identifying surrounding obstacles, detecting the edge of the road, and performing high-precision positioning. , Pedestrians, bicycles, etc.

With the rapid development of the domestic security field, security systems are becoming more and more integrated, multi-functional, and intelligent. The traditional single camera model cannot fully meet the security environment. Requirements. The addition of lidar provides new solutions and new functions for security integrators and customers. Compared with the traditional security monitoring system, the lidar-based security solution can not only meet the customer's basic protection and alarm functions, but also enhance the customer's deep-level needs and have greater advantages.

In recent years, lidar technology has developed rapidly. The technology has evolved from simple laser ranging technology to laser tracking, laser speed measurement, laser scanning imaging, laser Doppler imaging and other technologies. Its working environment has also developed from the initial visible light region (ruby laser) to the near infrared region (Nd: YAG laser), and then the infrared region (CO2 laser), and now many laser radars are working harmless to the human eye The near-infrared region (0.76 ~ 1.5μm). As a result, many different uses of lidar have emerged, such as precision tracking lidar, detection lidar, underwater lidar, etc., making lidar a type of system with multiple functions.

As the population of large cities continues to grow, urban traffic also becomes more congested, which requires future traffic to be “smarter”. The rapid development of the Internet of Things, sensors, and artificial intelligence has made these a reality. Information technology, sensor technology, communication technology and other technologies are widely used in the transportation field.

As robots penetrate into people's lives, such as factories, warehouses, hotels, shopping malls, restaurants, and other environments, people pay more attention to the mobility of robots, and the market's demand for intelligent devices is increasing. So that obstacle avoidance becomes an extremely critical and necessary function. Obstacle avoidance refers to the fact that the mobile robot detects static and dynamic objects that hinder its passage through the lidar sensor according to the collected status information of obstacles, and then effectively avoids obstacles according to a certain method and finally reaches the target point.

The necessary condition for obstacle avoidance and navigation is environmental awareness. Obstacle avoidance in an unknown or partially unknown environment requires information about the surrounding environment through lidar sensors, including information on the size, shape and position of obstacles. Therefore, sensor technology is moving Robots play a very important role in obstacle avoidance. VR / AR has also become popular in recent years, and the market prospects are considerable. VR all-in-one machines, smart glasses and other products have been available, and AR glasses and AR headsets are also widely used.