Abstract
Fisheye cameras or wide-angle cameras used on automobiles have various applications as distributed sensors and their image resolution can be enhanced using super resolution (SR) technology. However, when an object is observed while the vehicle moves or by multiple vehicles, the object regions are often captured with very low quality (low resolution and large blur) resulting from the character of the lens. Therefore, applying SR requires a decision as to which images to use as inputs: a greater number of lower-quality images or fewer higher-quality images. We evaluated and discussed the input image quality necessary to obtain effective SR results, especially focusing on degree of image blur. Then, we considered its potential use as a requisite in observing road environments.
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References
Pioneer Corporation, Pioneer Introduces New CYBER NAVI Car Navigation Systems for Japan Market. https://global.pioneer/en/news/press/index/1617 (2018)
Toyota Motor Corporation, Toyota Plans Trial Provision of Lane-specific Traffic-congestion Information Based on Driving Video Data from 500 Tokyo Taxis. https://newroom.toyota.co.jp/en/detail/19231576/ (2018)
Kataoka, H., Suzuki, T., Oikawa, S., Matsui, Y., Satoh, Y.: Drive video analysis for the detection of traffic near-miss incidents. In: IEEE International Conference on Robotics and Automation (ICRA) (2018)
Chan, F.-H., Chen, Y.-T., Xiang, Y., Sun, M.: Anticipating accidents in dashcam videos. In: The 13th Asian Conference on Computer Vision (ACCV) (2016)
Kawasaki, H., Ikeuchi, K., Sakauchi, M.: Super-resolution omnidirectional camera images using spatio-temporal analysis. Electron. Commun. Jpn. 89(6), 47–59 (2006)
Nagahara, H., Yagi, Y., Yachida, M.: Super-resolution from an omnidirectional image sequence. In: Proceedings of 26th Annual Conference of the IEEE Industrial Electronics Society (IECON), vol. 4, pp. 2559–2564 (2000)
Zhang, F., Zhu, Q.D.: Super-resolution image reconstruction for omni-vision based on POCs. In: Proceedings of 21st Annual International Conference on Chinese Control and Decision (CCDC), pp. 5045–5049 (2009)
Arican, Z., Frossard, P.: Joint registration and super-resolution with omnidirectional images. IEEE Trans. Image Process. 20(11) (2011)
Takano, T., Ono, S., Matsushita, Y., Kawasaki, H., Ikeuchi, K.: Super resolution with fisheye camera images for visibility support of vehicle. In: IEEE International Conference on Vehicular Electronics and Safety (ICVES) (2015)
Farsiu, S., Robinson, D., Elad, M., Milanfar, P.: Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13, 1327–1344 (2004)
Scaramuzza, D., Martinelli, A., Siegwart, R.: A toolbox for easy calibrating omnidirectional cameras. In: Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS) (2006)
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Ono, S., Takano, T., Kawasaki, H., Ikeuchi, K. (2019). Analysis of Quality/Quantity Trade-Off of Images Collected by On-Vehicle Fisheye Cameras for Super Resolution. In: Mine, T., Fukuda, A., Ishida, S. (eds) Intelligent Transport Systems for Everyone’s Mobility. Springer, Singapore. https://doi.org/10.1007/978-981-13-7434-0_12
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DOI: https://doi.org/10.1007/978-981-13-7434-0_12
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