Multi-Classifier Feature Fusion-Based Road Detection for Connected Autonomous Vehicles

Multi-Classifier Feature Fusion-Based Road Detection for Connected Autonomous Vehicles

Connected autonomous vehicles (CAVs) currently promise cooperation between vehicles, providing abundant and real-time information through wireless communication technologies. In this paper, a two-level fusion of classifiers (TLFC) approach is proposed by using deep learning classifiers to perform ac...

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Bibliographic Details
Main Authors: Prabu Subramani, Khalid Nazim Abdul Sattar, Rocío Pérez de Prado, Balasubramanian Girirajan, Marcin Wozniak
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
accuracy
connected autonomous vehicles
deep learning classifiers
road detection
superpixel generation
two-level fusion of classifiers
Online Access:https://www.mdpi.com/2076-3417/11/17/7984

Internet

https://www.mdpi.com/2076-3417/11/17/7984

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