Gradient-based Camera Exposure Control for Outdoor Mobile Platforms
SCIE
SCOPUS
- Title
- Gradient-based Camera Exposure Control for Outdoor Mobile Platforms
- Authors
- Inwook Shim; Tae-Hyun Oh; Joon-Young Lee; Jinwook Choi; Dong-Geol Choi; In So Kweon
- Date Issued
- 2019-06
- Publisher
- Institute of Electrical and Electronics Engineers
- Abstract
- We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper exposure level, allowing a camera to capture the important image features in a manner robust to illumination conditions. We then extend this concept to a multi-camera system and present a new control algorithm to achieve both brightness consistency between adjacent cameras and a proper exposure level for each camera. We implement our prototype system with off-the-shelf machine-vision cameras and demonstrate the effectiveness of the proposed algorithms on practical applications, including pedestrian detection, visual odometry, surround-view imaging, panoramic imaging, and stereo matching.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/103518
- DOI
- 10.1109/TCSVT.2018.2846292
- ISSN
- 1051-8215
- Article Type
- Article
- Citation
- IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 6, page. 1569 - 1583, 2019-06
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