[HTML][HTML] Multi-classifier feature fusion-based road detection for connected autonomous vehicles

P Subramani, KNA Sattar, RP de Prado, B Girirajan… - Applied Sciences, 2021 - mdpi.com
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 accurate road detection (RD). The proposed TLFC-RD
approach improves the classification by considering four key strategies such as cross fold
operation at input and pre-processing using superpixel generation, adequate features, multi …

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

S Prabu, KNA Sattar, RP de Prado, B Girirajan… - Appl. Sci - pdfs.semanticscholar.org
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 accurate road detection (RD). The proposed TLFC-RD
approach improves the classification by considering four key strategies such as cross fold
operation at input and pre-processing using superpixel generation, adequate features, multi …
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