Complex environment localization system using complementary ceiling and ground map information
Author:
Funder
ministry of science and technology, taiwan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10514-023-10116-6.pdf
Reference21 articles.
1. Bahraini, M. S., Bozorg, M., & Rad, A. B. (2018). SLAM in dynamic environments via ML-RANSAC. Mechatronics, 49, 105–118.
2. Besl, P. J., & McKay, N. D. (1992). Method for registration of 3-D shapes. In P. S. Schenker (Ed.), Sensor fusion IV: Control paradigms and data structures (Vol. 1611, pp. 586–606). https://doi.org/10.1117/12.57955
3. Biber, P., & Straßer, W. (2003). The normal distributions transform: A new approach to laser scan matching. In Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003)(cat. no. 03ch37453) (Vol. 3, pp. 2743–2748).
4. Fukuda, T., Ito, S., Oota, N., Arai, F., Abe, Y., Tanaka, K., & Tanaka, Y. (1993). Navigation system based on ceiling landmark recognition for autonomous mobile robot. In Proceedings of IECON’93-19th Annual Conference of IEEE Industrial Electronics (pp. 1466–1471).
5. Hackel, T., Wegner, J. D., & Schindler, K. (2016). Contour detection in unstructured 3D point clouds. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1610–1618).
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