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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Incheon ,Inch On Gwangyoksi ,South Korea ,Canada ,Imran Ahmed ,Abdellah Chehri ,Gwanggil Jeon ,Incheon City College ,Royal Military College Of Canada ,School Of Computing ,Anglia Ruskin University ,Information Sciences ,Department Of Mathematics ,Incheon National University ,Self Driving Cars ,Deep Learning Based Object Detection ,Light Detection ,Intelligent Transport Systems ,Professor Gwanggil Jeon ,Smart Iot Enabled End To ,Object Detection System ,Intelligent Transport ,Anglia Ruskin ,Embedded Systems Engineering ,Incheon National ,Computer Science ,Royal Military College ,National University ,