Robust bathymetric SLAM algorithm considering invalid loop closures

• Published in: Applied ocean research Vol. 102; p. 102298
• Main Authors: MA, Teng, LI, Ye, ZHAO, Yuxin, ZHANG, Qiang, JIANG, Yanqing, CONG, Zheng, ZHANG, Tongwei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2020
• Subjects: Bathymetric SLAM; Invalid loop closures; Residual-based loop closure identification; Robust filter; Robust filter; Bathymetric SLAM; Residual-based loop closure identification; Invalid loop closures
• ISSN: 0141-1187; 1879-1549
• DOI: 10.1016/j.apor.2020.102298

•Residual-based loop closure identification proposed in this paper can reduce the number of invalid loop closures while offering the utmost of retaining valid loop closures.•This paper proposed the robust filter which can not only identify invalid loop closures but also flat the influence of misidentified loop closures on navigational results.•According to play-back experiments, robust BSLAM algorithm can provide accurate and stable navigation results in real-time, and the robustness of robust BSLAM algorithm is also analyzed using experimental results. Autonomous underwater vehicles (AUVs) are important tools for topography mapping and geological surveys, and bathymetric simultaneous localization and mapping (BSLAM) method holds high potential for accurate navigation in long endurance AUV missions. However, invalid loop closures caused by nearly flat seabed topography may cause BSLAM algorithm fail catastrophically. In this paper, a robust BSLAM algorithm is proposed, whose robustness is guaranteed by both a residual-based loop closure identification method and a robust filter algorithm. In residual-based loop closure identification, a Gini impurity based on probabilistic labels is proposed in the random forest (RF) method to classify invalid and valid loop closures; meanwhile, a posteriori state estimate function of the vehicle considering the stability of robust BSLAM algorithm is proposed to generate both stable and accurate navigational results in robust filter. The play-back experiments have shown that robust BSLAM algorithm can provide accurate and stable navigational results in real-time.