Solution: Scanners are used for AGV dynamic path obstacle avoidance
Based on the 270° wide-angle scanning (resolution 0.1°) and 8m detection distance of XD-TOF-05D, this solution constructs a 2D point cloud map in real time through the edge computing unit. Adopting an adaptive voxel filtering algorithm (voxel size 5cm³), the data volume is dynamically compressed to 15% of the original value while retaining the obstacle contour features. For high-speed AGV (speed ≥ 2m/s), the system integrates IMU posture data and point cloud spatial topological relationship to implement a dual-threshold obstacle avoidance strategy:
AGV encounters a static obstacle: When the safety laser scanner detects an object larger than 5cm, it triggers a 0.1 second gradient deceleration (acceleration -1.5m/s²) and updates the path planning synchronously;
AGV encounters a dynamic obstacle: The safety laser scanner identifies the motion trajectory through 3 consecutive frames of point cloud matching, triggers a 0.05 second emergency stop (acceleration -5m/s²), and activates a ring warning light strip.
Innovation: The introduction of the quantum noise suppression module (added in 2025) reduces the false detection rate from 0.5% to 0.1% in strong electromagnetic interference environments, making it suitable for complex scenarios such as automobile manufacturing workshops.
