What is the use of car LiDAR
ADDTIME:2025/3/20
Lidar - the pathfinder for future unmanned driving
With the continuous advancement of technology, autonomous vehicles have become the focus of attention in today's society. Lidar, a key technology, provides detailed and accurate map data for autonomous vehicles, ensuring safe and efficient navigation. Next, we will delve into the various types of LiDAR and their applications in the field of autonomous driving.
Mechanical scanning lidar
Scanning the laser beam through a rotating lens or reflector can achieve a comprehensive perception of the surrounding environment. This type of LiDAR typically exhibits high resolution and excellent measurement accuracy.
Solid state laser radar
The use of solid-state optical components for laser emission and reception is characterized by its compact size, excellent reliability, and fast scanning speed.
Rotating LiDAR
Adopting a rotating design, the surrounding environment is scanned through high-speed rotating laser and receiver components. Its uniqueness lies in its ability to perform high-speed and continuous environmental perception, making it particularly suitable for applications that require rapid response and dynamic scene perception.
Basic principles of 3D LiDAR
3D LiDAR, as a sensor capable of accurately measuring three-dimensional distance information of the surrounding environment, has four key steps in its working principle. Firstly, LiDAR uses a laser emitter to emit near-infrared laser pulses, which typically have a duration of nanoseconds. Then, when these laser pulses are irradiated onto the surface of the target object, they will be reflected back, and the laser radar will receive these reflected laser pulses through a photodetector. Then, by accurately measuring the time difference between the emission and reception of laser pulses, combined with the speed of light, the LiDAR can calculate the precise distance between the target object and the sensor. Finally, LiDAR uses mechanical or optical scanning mechanisms to measure the surrounding environment point by point in a fan-shaped or cylindrical manner, thereby generating 3D point cloud images.
Application of LiDAR in the field of autonomous driving
Lidar plays a crucial role in autonomous driving technology, as it is widely used to perceive and understand the environmental conditions around vehicles. Its key application scenarios include:
Obstacle detection and precise distance measurement
Lidar technology enables autonomous vehicles to finely detect and measure the position and shape of surrounding obstacles, such as other moving vehicles, pedestrians, and stationary buildings. Through this feature, vehicles can perceive potential collision threats in real time and take safety measures such as avoidance or parking.
Map construction and precise positioning
Lidar technology can generate extremely fine 3D point cloud data, which is crucial for building high-precision maps and determining the precise location of vehicles. By comparing with pre built maps, autonomous vehicles can achieve accurate navigation and positioning in any environment, even in situations where GPS signals are unstable or obstructed, ensuring accurate positioning.
With the continuous advancement of technology, autonomous vehicles have become the focus of attention in today's society. Lidar, a key technology, provides detailed and accurate map data for autonomous vehicles, ensuring safe and efficient navigation. Next, we will delve into the various types of LiDAR and their applications in the field of autonomous driving.
Mechanical scanning lidar
Scanning the laser beam through a rotating lens or reflector can achieve a comprehensive perception of the surrounding environment. This type of LiDAR typically exhibits high resolution and excellent measurement accuracy.
Solid state laser radar
The use of solid-state optical components for laser emission and reception is characterized by its compact size, excellent reliability, and fast scanning speed.
Rotating LiDAR
Adopting a rotating design, the surrounding environment is scanned through high-speed rotating laser and receiver components. Its uniqueness lies in its ability to perform high-speed and continuous environmental perception, making it particularly suitable for applications that require rapid response and dynamic scene perception.
Basic principles of 3D LiDAR
3D LiDAR, as a sensor capable of accurately measuring three-dimensional distance information of the surrounding environment, has four key steps in its working principle. Firstly, LiDAR uses a laser emitter to emit near-infrared laser pulses, which typically have a duration of nanoseconds. Then, when these laser pulses are irradiated onto the surface of the target object, they will be reflected back, and the laser radar will receive these reflected laser pulses through a photodetector. Then, by accurately measuring the time difference between the emission and reception of laser pulses, combined with the speed of light, the LiDAR can calculate the precise distance between the target object and the sensor. Finally, LiDAR uses mechanical or optical scanning mechanisms to measure the surrounding environment point by point in a fan-shaped or cylindrical manner, thereby generating 3D point cloud images.
Application of LiDAR in the field of autonomous driving
Lidar plays a crucial role in autonomous driving technology, as it is widely used to perceive and understand the environmental conditions around vehicles. Its key application scenarios include:
Obstacle detection and precise distance measurement
Lidar technology enables autonomous vehicles to finely detect and measure the position and shape of surrounding obstacles, such as other moving vehicles, pedestrians, and stationary buildings. Through this feature, vehicles can perceive potential collision threats in real time and take safety measures such as avoidance or parking.
Map construction and precise positioning
Lidar technology can generate extremely fine 3D point cloud data, which is crucial for building high-precision maps and determining the precise location of vehicles. By comparing with pre built maps, autonomous vehicles can achieve accurate navigation and positioning in any environment, even in situations where GPS signals are unstable or obstructed, ensuring accurate positioning.
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