Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53036-4_9
Reference21 articles.
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2. Rubio, F., Valero, F., Llopis-Albert, C.: A review of mobile robots: concepts, methods, theoretical framework, and applications. Int. J. Adv. Robot. Syst. 16(2) (2019). https://doi.org/10.1177/1729881419839596
3. Jung, Y.H., et al.: Development of multi-sensor module mounted mobile robot for disaster field investigation. Gottingen Copernicus GmbH (2022). https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1103-2022
4. Janczak, D., Walendziuk, W., Sadowski, M., Zankiewicz, A., Konopko, K., Idzkowski, A.: Accuracy analysis of the indoor location system based on bluetooth low-energy RSSI measurements. Energies 15, 8832 (2022). https://doi.org/10.3390/en15238832
5. Janos, R., Sukop, M., Semjon, J., et al.: Conceptual design of a leg-wheel chassis for rescue operations. Int. J. Adv. Robot. Syst. 14(6) (2017). https://doi.org/10.1177/1729881417743556
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