Real-time traffic obstacle detection using hybrid FCL for R-CNN and EfficientDet with transfer learning

Abstract The ability of vehicles to detect obstacles on the road is a critical component in advancing autonomous driving systems. Driving involves complex perception and decision-making, which is a challenge for humans and automated systems. In this work, we present and evaluate two object detection...

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Principais autores:	K. Veningston, M. Ronalda, R. Sathiyaraj, C. Selvan, P. V. Venkateswara Rao, Janardhan Karravula
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2026-02-01
Colecção:	Discover Artificial Intelligence
Assuntos:	Convolutional neural networks Hybrid fully connected layers Object detection Live traffic Transfer learning
Acesso em linha:	https://doi.org/10.1007/s44163-026-00871-7
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