Abstract: The leap forward in research progress in real-time object detection and classification has been dramatically boosted by including Embedded Artificial Intelligence (EAI) and Deep Learning (DL ...
Accurate and efficient crop row detection is essential for the visual navigation of agricultural machinery. However, existing deep learning–based methods often suffer from high computational costs, ...
Intelligent image cropping tool with multiple detection methods including You Only Look Once (YOLO), DEtection TRansformer (DETR), Real-Time DEtection TRansformer (RT-DETR), Roboflow DETR (RF-DETR), ...
Abstract: Ensuring safety in both autonomous driving and advanced driver-assistance systems (ADAS) depends critically on the efficient deployment of traffic sign recognition technology. While current ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
RailAI-Vision is a modular, multitask deep learning framework designed for object detection, semantic segmentation, and depth estimation in railway environments. It integrates real-time safety ...
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