Development of an Ensembled Meta-Deep Learning Model for Semantic Road-Scene Segmentation in an Unstructured Environment

Development of an Ensembled Meta-Deep Learning Model for Semantic Road-Scene Segmentation in an Unstructured Environment

Road scene segmentation is an integral part of the Intelligent Transport System (ITS) for precise interpretation of the environment and safer vehicle navigation. Traditional segmentation methods have faced difficulties in meeting the requirements of unstructured and complex image segmentation. There...

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Bibliographic Details
Main Authors: Sangavi Sivanandham, Dharani Bai Gunaseelan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
semantic segmentation
ensembling algorithms
computer vision
IDD
segmentation models
road scene perception
Online Access:https://www.mdpi.com/2076-3417/12/23/12214

Internet

https://www.mdpi.com/2076-3417/12/23/12214

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