Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Abstract: The proliferation of deep learning has driven remarkable advancements in 3D object detection technology, resulting in an expanding repertoire of sophisticated algorithms. This survey paper ...
Abstract: With the increasing demands for accuracy in object detection and tracking in fields such as intelligent surveillance and autonomous driving, traditional multi-object tracking algorithms ...
Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...
The challenge of efficiently detecting ripe and unripe strawberries in complex environments like greenhouses, marked by dense clusters of strawberries, frequent occlusions, overlaps, and fluctuating ...
ABSTRACT: 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 ...
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 ...
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor ...
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