Benchmark Solution "GraphSLAM"

This solution solves the following problem

• Perform a map building activity with SLAM (online), using the sensor data files provided below. Such files come from the Bovisa_2008-10-04 data-collection session; they include output and calibration information associated to laser range scanners (2 Sick units, 2 Hokuyo units), IMU, odometry, and the ground truth for the specified session. Please note that the Bovisa_2008-10-04 session also includes other data files, not used for this Benchmark Problem. This BP belongs to the very first batch of problems published by Rawseeds; other BPs will follow. - Laser SLAM - Bovisa_2008-10-04

Related results

• Comment: mean - Value: 1.6008 - Absolute Trajectory Error
• Comment: stddev - Value: 0.839729 - Absolute Trajectory Error
• Comment: CI low - Value: 0 - Absolute Trajectory Error
• Comment: CI high - Value: 4.11999 - Absolute Trajectory Error
• Comment: - Value: 0 - Mapping Error
• Comment: RPE-T mean in [m2] - Value: 0.076609 - Relative Pose Error
• Comment: RPE-T stddev in [m2] - Value: 0.195128 - Relative Pose Error
• Comment: RPE-R mean in [rad2] - Value: 0.013384 - Relative Pose Error
• Comment: RPE-R stddev in [rad2] - Value: 0.016656 - Relative Pose Error
• Comment: - Value: 0 - Rough Estimate of Complexity
• Comment: - Value: 0 - Self Localization Error