T/CAGIS 5-2021 Vehicle-mounted laser mobile measurement system
T/CAGIS 5-2021 Vehicle-mounted laser mobile measurement system
Basic Information
Scope
Scope: This document establishes the classification and accuracy levels of vehicle-mounted laser mobile measurement systems, and specifies the system configuration, technical requirements, and corresponding measurement methods of vehicle-mounted laser mobile measurement systems. This document does not involve software used for mobile measurement data collection and processing. This document applies to vehicle-mounted mobile measurement systems that integrate control systems, positioning and attitude measurement systems, laser scanning systems, panoramic imaging systems, odometers, and other multi-sensors. Other mobile measurement systems can refer to this document for implementation. Main technical content: 1. Hardware configuration. Based on current market mainstream products, this standard specifies the sensor components and control systems that should be configured in vehicle-mounted laser mobile measurement systems. 2. Product grading. This standard classifies products according to their overall measurement accuracy to meet the needs of different users and different measurement projects. Since the purpose of this equipment is to measure roads, road accessories (generally within 50m), and roadside buildings (generally within 100m), the overall measurement accuracy of the system is divided into product grades according to the position accuracy that can be achieved at 50m and 100m. 3. Sensor accuracy. To meet the overall measurement accuracy of the system, this standard sets corresponding accuracy requirements for sensor components corresponding to different grade products. 4. Measurement methods. Since there are currently no mature and publicly available metrological inspection methods for vehicle-mounted laser mobile measurement systems and sensor components in China, this standard proposes measurement methods for overall system accuracy, laser scanning system accuracy, and point cloud and image matching accuracy based on the product inspection methods of vario