Projects per year
Abstract
This paper assesses the performance of three convolutional neural networks for object detection at sea using Long Wavelength Infrared (LWIR) images in the 8 − 14µm range. Capturing images from ferries and annotating 20k images, fine-tuning is done of three state of art deep neural networks: RetinaNet, YOLO and Faster R-CNN. Targeting on vessels and buoys as two main classes of interest for navigation, performance is quantified by the cardinality of true and false positives and negatives in a random validation set. Calculating precision and recall as functions of tuning parameters for the three classifiers, noticeable differences are found between the three networks when used for LWIR image object classification at sea. The results lead to conclusions on imaging requirements when classification is used to support navigation.
Original language | English |
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Book series | I F A C Workshop Series |
Volume | 52 |
Issue number | 21 |
Pages (from-to) | 64-71 |
ISSN | 1474-6670 |
DOIs | |
Publication status | Published - 2019 |
Event | 12th Control Applications in Marine Systems, Robotics, and Vehicles - Chunghi & Byiung Jun Park KI Building, KAIST, Daejeon, Korea, Republic of Duration: 18 Sep 2019 → 20 Sep 2019 Conference number: 12 http://cams-wroco.org/ |
Conference
Conference | 12th Control Applications in Marine Systems, Robotics, and Vehicles |
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Number | 12 |
Location | Chunghi & Byiung Jun Park KI Building, KAIST |
Country/Territory | Korea, Republic of |
City | Daejeon |
Period | 18/09/2019 → 20/09/2019 |
Internet address |
Keywords
- Object Detection
- Autonomous marine crafts
- Navigation
- Long-wave Infra-red
- Detection at sea
- Autonomous Ship
Fingerprint
Dive into the research topics of 'Assessing Deep-learning Methods for Object Detection at Sea from LWIR Images'. Together they form a unique fingerprint.Projects
- 2 Finished
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ShippingLab Autonomy
Blanke, M., Galeazzi, R., Dittmann, K., Hansen, S., Papageorgiou, D., Nalpantidis, L., Schöller, F. E. T. S., Plenge-Feidenhans'l, M. K., Hansen, N., Andersen, R. H., Becktor, J. B., Enevoldsen, T. T., Dagdilelis, D., Karstensen, P. I. H., Nielsen, R. E., Garde, J., Ravn, O., Christin, L. P. E. & Nielsen, R. E.
01/04/2019 → 31/12/2022
Project: Research
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ASAN: Autonomous Situation Awareness for Navigation
Blanke, M., Hansen, S., Papageorgiou, D. & Stets, J. D.
01/12/2018 → 31/03/2021
Project: Research