Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination
Cameras are valuable sensors for robotics perception tasks. Among these perception tasks are motion estimation, localization, and object detection. Cameras are attractive sensors because they are passive and relatively cheap and can provide rich information. However, being passive sensors, they rely...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2019/5015741 |
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| _version_ | 1832556572388098048 |
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| author | Mohamed Aladem Stanley Baek Samir A. Rawashdeh |
| author_facet | Mohamed Aladem Stanley Baek Samir A. Rawashdeh |
| author_sort | Mohamed Aladem |
| collection | DOAJ |
| description | Cameras are valuable sensors for robotics perception tasks. Among these perception tasks are motion estimation, localization, and object detection. Cameras are attractive sensors because they are passive and relatively cheap and can provide rich information. However, being passive sensors, they rely on external illumination from the environment which means that their performance degrades in low-light conditions. In this paper, we present and investigate four methods to enhance images under challenging night conditions. The findings are relevant to a wide range of feature-based vision systems, such as tracking for augmented reality, image registration, localization, and mapping, as well as deep learning-based object detectors. As autonomous mobile robots are expected to operate under low-illumination conditions at night, evaluation is based on state-of-the-art systems for motion estimation, localization, and object detection. |
| format | Article |
| id | doaj-art-c9e23f00256d4eabbfd6defd03663ebc |
| institution | Kabale University |
| issn | 1687-9600 1687-9619 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Robotics |
| spelling | doaj-art-c9e23f00256d4eabbfd6defd03663ebc2025-02-03T05:45:03ZengWileyJournal of Robotics1687-96001687-96192019-01-01201910.1155/2019/50157415015741Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low IlluminationMohamed Aladem0Stanley Baek1Samir A. Rawashdeh2College of Engineering and Computer Science, University of Michigan-Dearborn, Michigan 48128, USACollege of Engineering and Computer Science, University of Michigan-Dearborn, Michigan 48128, USACollege of Engineering and Computer Science, University of Michigan-Dearborn, Michigan 48128, USACameras are valuable sensors for robotics perception tasks. Among these perception tasks are motion estimation, localization, and object detection. Cameras are attractive sensors because they are passive and relatively cheap and can provide rich information. However, being passive sensors, they rely on external illumination from the environment which means that their performance degrades in low-light conditions. In this paper, we present and investigate four methods to enhance images under challenging night conditions. The findings are relevant to a wide range of feature-based vision systems, such as tracking for augmented reality, image registration, localization, and mapping, as well as deep learning-based object detectors. As autonomous mobile robots are expected to operate under low-illumination conditions at night, evaluation is based on state-of-the-art systems for motion estimation, localization, and object detection.http://dx.doi.org/10.1155/2019/5015741 |
| spellingShingle | Mohamed Aladem Stanley Baek Samir A. Rawashdeh Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination Journal of Robotics |
| title | Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination |
| title_full | Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination |
| title_fullStr | Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination |
| title_full_unstemmed | Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination |
| title_short | Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination |
| title_sort | evaluation of image enhancement techniques for vision based navigation under low illumination |
| url | http://dx.doi.org/10.1155/2019/5015741 |
| work_keys_str_mv | AT mohamedaladem evaluationofimageenhancementtechniquesforvisionbasednavigationunderlowillumination AT stanleybaek evaluationofimageenhancementtechniquesforvisionbasednavigationunderlowillumination AT samirarawashdeh evaluationofimageenhancementtechniquesforvisionbasednavigationunderlowillumination |