Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...
Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
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 ...
Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...
Uses SSD MobileNet v3 for real-time object detection. Displays detected objects with confidence scores. Uses OpenCV to process video frames from the webcam. Starts the webcam and captures video. Runs ...
Abstract: Road object detection is pivotal in autonomous vehicles, traffic management, and safety. Traditional methods have limitations in complex real-world road scenarios. Deep learning, with its ...
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