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Application Analysis of Lidar Sensors in Automatic Driving and Unmanned Aerial Vehicles

In recent years, the rapid development of laser radar technology, from the beginning of laser ranging technology, has gradually developed laser speed measurement, laser scanning imaging, laser Doppler imaging and other technologies, and now in the field of driverless, AGV, robotics, etc. The presence of a laser radar. With the rise of unmanned vehicles, robots, etc., we can understand the key technology application analysis of LiDAR sensors in autonomous driving and drones.
(1) Automatic driving field
Speaking of car laser radar originated from an Autopilot Vehicle Challenge at the International Advanced Research Projects Agency. The purpose of this competition is to encourage the development of fully self-driving vehicles on the ground. Everyone knows that human driving first uses the eyes and ears to sense the surrounding environment. The same is true for auto-driving. It uses sensors to sense the surrounding environment. At present, with the prosperity of the smart driving industry, the lidar sensor market has become hot. Especially in this year's 5G first year.
(2) UAV field
Only a few years ago, the UAV detection system required the cooperation of aircraft, large lidar sensors and crew to complete image capture. Through the on-board lidar sensor and complex software, the lidar image is processed quickly in the cloud layer, providing users with decision-making reference.
1. UAV anti-collision radar sensor
The Lidar sensor uses precise positioning and safety navigation technology, and has an obstacle detection function that can identify and avoid obstacles.
2. Surface image lidar sensor
Based on integrated optical altimeter technology, this laser sensor can be used to provide accurate distance measurements above surface levels.
3. Lidar structure detection
The lidar sensor features powerful built-in signal analysis technology, new line of sight and multi-segment measurement capabilities to measure major distance values and efficient obstacle detection data for safe navigation during structural inspections.
4. Night laser radar sensor
Lidar sensors can work at low visibility or nighttime conditions, so they can improve the success rate of obstacle avoidance.