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Towards applying image retrieval approach for finding semantic locations in autonomous vehicles
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Towards applying image retrieval approach for finding semantic locations in autonomous vehicles
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Journal Article
Towards applying image retrieval approach for finding semantic locations in autonomous vehicles
2024
Overview
The current world today is indisputably digital and its advanced digital technologies have grown more rapidly than ever since. The recent scientific and engineering progress in autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) make us believe that autonomous vehicles will be fully functional without human intervention in the near future. The current ADAS methods are best at realizing different modes of AV, however, it still lacks behind to handle uncertain situations such as deciding the specific location to stop. To overcome this, we propose a novel image retrieval approach for finding the semantic locations by using vigorous features and color information. Firstly, the proposed method offers different image categories and the driver selects a query image of the semantic location. Secondly, the method extracts its salient features and color information using the proposed technique. Thirdly, the method computes the similarity between the query image and the dataset images. Finally, if the threshold similarity is found, the method asks the driver for appropriate actions (e.g. slow down or stop). The experimental results on three benchmark datasets show the efficiency and accuracy of the proposed method for finding the semantic locations in autonomous vehicles.
Publisher
Springer US,Springer Nature B.V
