- 著者
-
王 治
渡部 大志
- 出版者
- 日本感性工学会
- 雑誌
- 日本感性工学会論文誌 (ISSN:18845258)
- 巻号頁・発行日
- vol.18, no.6, pp.417-421, 2019 (Released:2019-12-27)
- 参考文献数
- 20
To improve the safety of autonomous cars, their obstacle detection capability in bad weather must be substantially improved. Haze is a major factor that degrades outdoor images. Although various dehazing schemes have been proposed, a dehazing scheme designed to improve obstacle detection capability has not been reported. Hence, we present a dehazing algorithm that enhances the safety of an autonomous car. This algorithm should be able to work in real time, even using edge computers typically installed as car electronics. Furthermore, this algorithm should work on grayscale images, as systems dependent on color images are often unaffected by environmental color changes caused by factors such as a setting sun. The empirical results showed that our grayscale image-based proposed algorithm is comparable to the results of current cutting-edge methods, and operates in real time.