CHC Navigation (CHCNAV) has released a new vehicle-mounted mobile mapping system combining high-performance Lidar technology, versatile sensor support and intelligent data processing. Designed for accurate and efficient collection of 3D spatial data, the AU20 MMS provides a practical and flexible solution for professionals involved in road surveying, asset management and infrastructure documentation.
The AU20 MMS is equipped with a sophisticated Lidar system that utilizes fourth-generation real-time waveform processing (RWP) technology. This enables the system to achieve a scan rate of 2 million points per second and 200 revolutions per second, producing point cloud data with 5mm accuracy and 3mm precision. Such detailed capture capabilities allow for the identification of fine surface characteristics and features for comprehensive asset inventories and condition assessments. The system’s long-range, multi-cycle laser technology facilitates high-density data capture at up to 250m in vehicle-mounted applications.
Eight external sensors
Constructed on the adaptable AP7 vehicle platform, the AU20 MMS can support a dual laser scanner setup, which significantly increases data density. The platform design incorporates a 45° scanning angle to reduce data shadows and improve the detection of vertical structures and road signage. Furthermore, the AP7’s built-in processor accommodates the integration of up to eight external sensors, including specialized pavement detection cameras and panoramic cameras such as the Ladybug5+ and Ladybug6, offering users flexibility in data acquisition strategies.
The AU20 MMS leverages AI-based algorithms to refine data quality and streamline processing. AI-driven computation for Vehicle Motion Trajectory (VMA) adjustment automatically identifies control points to correct point cloud inaccuracies to within 2cm, ensuring the data aligns with highway-grade survey requirements, even in complex scenarios. Additionally, AI-powered panoramic colouring achieves over 95% accuracy in recognizing and handling vehicles and pedestrians.
CHCNAV’s proprietary software suite, CoPre and CoProcess, streamlines workflows by integrating intelligent automation. CoPre optimizes data preprocessing, enabling real-time adjustments to point clouds and imagery while minimizing manual intervention. CoProcess leverages AI algorithms for feature extraction, including road assets, terrain models and building structures, accelerating project delivery.
