Abstract
Long-term monitoring of natural environments raises significant challenges due to the strong perceptual aliasing in trees, bushes and shrubs. This paper reports on the multi-session localization and mapping of a small lake shore using an autonomous surface vessel equipped with a 2D lidar and a camera. Our publicly available dataset includes 130 autonomous surveys of the 1 km shoreline while recording lidar, GPS and image data. We build our globally consistent multi-session map using ICP at multiple scales. The end result is evaluated qualitatively by superimposing all the lidar maps, and quantitatively by comparing images taken from the same pose at different times. The localization and mapping results, as well as the dataset of image pairs, are made available within our public dataset.
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References
Bosse, M.C.: ATLAS: a framework for large scale automated mapping and localization. Ph.D. thesis, Massachusetts Institute of Technology (2004)
Censi, A.: An ICP variant using a point-to-line metric. In: IEEE International Conference on Robotics and Automation, 2008. ICRA 2008, pp. 19–25. IEEE (2008)
Chahine, G., Pradalier, C.: Survey of monocular SLAM algorithms in natural environments. In: Conference on Computer and Robot Vision (2018)
Dellaert, F., Kaess, M., et al.: Factor graphs for robot perception. Found. Trends® Robot. 6(1–2), 1–139 (2017)
Elseberg, J., Magnenat, S., Siegwart, R., Nüchter, A.: Comparison of nearest-neighbor-search strategies and implementations for efficient shape registration. J. Softw. Eng. Robot. (JOSER) 3(1), 2–12 (2012)
Engel, J., Koltun, V., Cremers, D.: Direct sparse odometry. IEEE Trans. Pattern Anal. Mach. Intell. 4 (2017)
Furgale, P., Tong, C.H., Barfoot, T.D., Sibley, G.: Continuous-time batch trajectory estimation using temporal basis functions. Int. J. Robot. Res. 34(14), 1688–1710 (2015)
Griffith, S., Chahine, G., Pradalier, C.: Symphony lake dataset. Int. J. Robot. Res. 36, 1151–1158 (2017)
Griffith, S., Pradalier, C.: Survey registration for long-term lakeshore monitoring. J. Field Robot. (2016)
Hitz, G., Pomerlesau, F., Colas, F., Siegwart, R.: State estimation for shore monitoring using an autonomous surface vessel. In: Experimental Robotics, pp. 745–760. Springer (2016)
Kümmerle, R., Grisetti, G., Strasdat, H., Konolige, K., Burgard, W.: G2O: A general framework for graph optimization. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 3607–3613. IEEE (2011)
Liu, C., Yuen, J., Torralba, A.: SIFT flow: dense correspondence across scenes and its applications. PAMI 33(5), 978–994 (2011)
Mühlfellner, P., Bürki, M., Bosse, M., Derendarz, W., Philippsen, R., Furgale, P.: Summary maps for lifelong visual localization. J. Field Robot. (2015)
Pomerleau, F.: Applied registration for robotics: Methodology and tools for ICP-like algorithms. Ph.D. thesis, ETH Zurich (2013)
Pomerleau, F., Colas, F., Siegwart, R., Magnenat, S.: Comparing ICP variants on real-world data sets. Auton Robots 34(3), 133–148 (2013)
Pomerleau, F., Krüsi, P., Colas, F., Furgale, P., Siegwart, R.: Long-term 3D map maintenance in dynamic environments. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 3712–3719. IEEE (2014)
Terzakis, G., Polvara, R., Sharma, S., Culverhouse, P., Sutton, R.: Monocular visual odometry for an unmanned sea-surface vehicle. arXiv preprint arXiv:1707.04444 (2017)
Wu, X., Pradalier, C.: Multi-scale direct sparse visual odometry for large-scale natural environment. In: International Conference on 3D Vision (2018)
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Pradalier, C., Aravecchia, S., Pomerleau, F. (2021). Multi-session Lake-Shore Monitoring in Visually Challenging Conditions. In: Ishigami, G., Yoshida, K. (eds) Field and Service Robotics. Springer Proceedings in Advanced Robotics, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-15-9460-1_1
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DOI: https://doi.org/10.1007/978-981-15-9460-1_1
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