Core Viewpoint - Hangzhou Yushu Technology Co., Ltd. has announced a patent for a "Dynamic Spatiotemporal Synchronization Mapping Method and System Based on Multi-Sensor Data Fusion," aimed at improving the accuracy of mapping in dynamic environments [1] Group 1: Patent Details - The patent falls under the field of environmental perception technology [1] - Existing mapping solutions based on multi-sensor data do not account for spatiotemporal discrepancies between sensor data, leading to insufficient synchronization during data fusion [1] Group 2: Technological Innovations - The invention includes several modules: point cloud distortion correction module, sensor time alignment module, dynamic target perception module, and multi-map fusion module [1] - These innovations effectively address the issue of insufficient spatiotemporal synchronization in multi-sensor data fusion [1] Group 3: Impact on Robotics - The method significantly enhances the spatial registration accuracy of point clouds and images [1] - It improves the mapping effectiveness in dynamic scenes, enabling robots to accurately identify and track dynamic targets [1] - This advancement increases the autonomous operational capabilities of robots in complex environments [1]