Abstract:
This research aims to develop a method of estimating road boundaries by deep learning. Existing methods detect boundaries using specifically designed features, and if suc...Show MoreMetadata
Abstract:
This research aims to develop a method of estimating road boundaries by deep learning. Existing methods detect boundaries using specifically designed features, and if such features are not available, it is difficult to estimate road boundaries. On the other hand, estimation by deep learning does not require designing features beforehand because it can learn features by itself, and it could estimate boundaries for a more diverse set of roads. In this research, we propose a method of estimating road boundaries by a combination of deep learning and particle filter. By performing a temporal filtering with a particle filter, it is possible to deal with occasional failures in road boundary recognition by deep learning.
Date of Conference: 12-15 December 2018
Date Added to IEEE Xplore: 14 March 2019
ISBN Information: