In recent years, the rapid advancement of low-speed unmanned driving applications in specific scenarios has been observed. The maturity of lidar, serving as a core sensor, is crucial for the practical implementation of low-speed unmanned driving. Moreover, compared to radar products used in autonomous vehicles, lidar products have higher requirements for detecting environmental details.
A service robot deployed in office buildings, factories, hotels, hospitals, and similar environments requires autonomous mobility and obstacle avoidance capabilities. To achieve obstacle avoidance in unknown environments, laser radar sensors are commonly employed. These sensors provide accurate environmental information, including obstacle dimensions and positions, enabling the robot to dynamically adjust its path, move safely, and accomplish tasks in real-time.