UAV On-Board Emergency Safe Landing Spot Detection System Combining Classical and Deep Learning-Based Segmentation Methods-Reference-Cited by-同舟云学术

UAV On-Board Emergency Safe Landing Spot Detection System Combining Classical and Deep Learning-Based Segmentation Methods

Published:2021 Issue: Volume: Page:467-478
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
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Author:

Paszkuta Marcin^ORCID,Rosner Jakub,Pęszor Damian^ORCID,Szender Marcin,Wojciechowska Marzena,Wojciechowski Konrad,Nowacki Jerzy Paweł^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-73280-6_37

Reference9 articles.

1. Bhatnagar, S., Gill, L., Ghosh, B.: Drone image segmentation using machine and deep learning for mapping raised bog vegetation communities 12(16), 2602 (2020). https://doi.org/10.3390/rs12162602, https://www.mdpi.com/2072-4292/12/16/2602

2. Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., Koltun, V.: CARLA: an open urban driving simulator. In: Proceedings of the 1st Annual Conference on Robot Learning, pp. 1–16 (2017)

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Gudyś,2015

4. Hinzmann, T., Stastny, T., Cadena, C., Siegwart, R., Gilitschenski, I.: Free LSD: prior-free visual landing site detection for autonomous planes 3(3), 2545–2552 (2018). https://doi.org/10.1109/LRA.2018.2809962

5. Li, R., et al.: DeepUNet: a deep fully convolutional network for pixel-level sea-land segmentation 11(11), 3954–3962 (2018). https://doi.org/10.1109/JSTARS.2018.2833382

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