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Researchers develop novel deep learning-based detection system for autonomous vehicles

Researchers develop novel deep learning-based detection system for autonomous vehicles
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Test Engineer (Groenlo, NL)

Do you want to apply the final finishing touch in the field of quality control of the developed software and thus further optimize the products that help the farmer? Then read our vacancy for Test Engineer! ....

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Nearly 200 students graduated from Oregon Tech's Portland-Metro campus Sunday

The Oregon Institute of Technology Class of 2023 moved their graduation tassels to the left Sunday as President Nagi Naganathan, Ph.D., concluded the 37th Annual Portland-Metro Commencement Ceremony. ....

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APEC 2023: Technology Advances, Supply-Chain Talks Share Spotlight

Keynote plenary sessions at leading industry power conference address supply-chain and manufacturing challenges, as well as technology advances. ....

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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… ....

Inch On Gwangyoksi , South Korea , 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 ,