Partners Field LiDAR/GNSS/INS Solution for Road Survey and Management - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

Partners Field LiDAR/GNSS/INS Solution for Road Survey and Management

Septentrio has partnered with XenomatiX, a provider of true-solid-state-LiDAR technology for autonomous applications and road management solutions, to enable high-accuracy GNSS-LiDAR solutions for road surveying and road management. XenomatiX will use the AsteRx SBi3 Pro+compact GNSS/INS receiver for millimeter-accurate analysis of pavement conditions using global positioning coordinates.

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Xenomatix LiDAR/GNSS mapper. Images courtesy Xenomatix.

Septentrio’s GNSS/INS will be a part of Xenomatix’ Road LiDAR called XenoTrack, which captures a 3D topography of an entire area in a single shot, rather than relying on extremely accurate GNSS/INS to stitch consecutive profiles together. XenomatiX’ sensor fusion algorithms combine visual SLAM techniques with GNSS, IMU and CAN to obtain a map of the road shape.Septentrio’s AsteRx SBi3, high-performance RTK GNSS/INS receiver with a dual antenna setup, ensures cm-accurate geotagging of the XenoTrack point cloud frames for relative and global millimeter accuracy over large distances. The inertial GNSS – IMU integration algorithm enables dead-reckoning, which means continuous positioning in environments of low satellite visibility where GNSS outages occur.

The Septentrio GNSS+ technology plays a key role in delivering the accuracy and reliability needed for XenoTrack. The AIM+ Advanced Interference Mitigation technology ensures robust positioning even in the presence of a jammers, which may be found aboard vehicles trying to avoid road tolling. When the sky is obstructed for an extended period, the built-in RAIM+ integrity algorithm serves as an indicator of when it is best to give priority to other sensor input to maintain a high-quality solution.

AsteRx SBi3 enables mapping solutions based on sensor fusion with LiDAR
AsteRx SBi3 enables mapping solutions based on sensor fusion with LiDAR