3 accepted papers
Accurate dynamic object removal from LiDAR-based maps is critical for reliable localization and navigation in urban environments, where moving targets often leave persistent point cloud trajectories during sequential scan accumulation, thereby degrading map fidelity. This study proposes a temporal d
A mobile mapping system (MMS) is a widely-used moving platform for the acquisition of rich geospatial information and requires sensor calibration to guarantee data quality. Global navigation satellite system (GNSS) sensor and light detection and ranging (LiDAR) are important parts of an MMS, and the
We propose a framework for odometry, mapping and ground segmentation using a backpack LiDAR system that achieves both real-time and low-drift performance. First, we present a spatio-temporal calibration method to carefully merge scans from the two laser scanners on a backpack. Second, we propose a f