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INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers have developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even…

INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles

INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles
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Bolstering the Safety of Self-Driving Cars with a Deep Learning-based Object Detection System

Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now developed an end-to-end neural network that, in conjunction with the Internet-of-Things technology, detects object with high accuracy (> 96%) in both 2D and 3D. The…

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