A Novel Terrain Segmentation Approach for Scene Understanding of Field Robots-Reference-Cited by-同舟云学术

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A Novel Terrain Segmentation Approach for Scene Understanding of Field Robots

Published:2024-07-30 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Wang Tian,Zhang Botao^ORCID,Wang Ruoyao,Lu Qiang,Chepinskiy Sergey A.

Funder

the Key Research and Development Project of Zhejiang Province

the Fundamental Research Funds for the Provincial Universities of Zhejiang under

the National Natural Science Foundation of China

the Zhejiang Provincial Natural Science Foundation of China under Grant

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13369-024-09363-1.pdf

Reference34 articles.

1. Maturana, D.; Choud, P.; Uenoyama, M.; Scherer, S.: Real-time semantic mapping for autonomous off-road navigation. In: Field and service robotics field and service robotics: results of the 11th international conference (pp. 335-350). Springer International Publishing. (2016) https://doi.org/10.1007/978-3-319-67361-5_22

2. Paz, D.; Zhang, H.; Li, Q.; Xiang, H.; Christensen, I.: H: Probabilistic semantic mapping for urban autonomous driving applications. In: Paper presented at proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS). (2020). https://doi.org/10.1109/IROS45743.2020.9341738

3. Guivant, J.; Nebot, E.; Nieto, J.; Masson, F.: Navigation and mapping in large unstructured environments. Int. J. Robot. Res. 23, 449–472 (2004). https://doi.org/10.1177/0278364904042203

4. Haiqiang, L.; Meibao, Y.; Xueming, X.: Marsscapes and udaformer: a panorama dataset and a transformer-based unsupervised domain adaptation framework for martin terrain segmentation. IEEE Trans. Geosci. Remote Sens. 62, 1–17 (2024). https://doi.org/10.1109/TGRS.2023.3343109

5. Pengzhi, T.; Meibao, Y.; Xueming, X.: 3D semantic terrain reconstruction of monocular close-up images of martian terrains. IEEE Trans. Geosci. Remote Sens. (2024). https://doi.org/10.1109/TGRS.2024.3378192

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