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Panasonic R&D Center Singapore’s paper accepted for presentation at the IEEE GLOBECOM 2020 and for publication in its proceedings

August 18, 2020 | Project

Panasonic R&D Center Singapore’s paper titled “Big Data Scenarios Simulator for Deep Learning Algorithm Evaluation for Autonomous Vehicles” has been accepted for presentation at the IEEE GLOBECOM 2020, December 7 – 11, in Taipei, Taiwan and for publication in its proceedings. The paper was co-authored with the University of Glasgow. In this paper, we propose a computer graphic simulator with a customized fisheye lens with the distortion factor. The system is able to generate a big training and testing dataset that mimics the real environment, and also able to evaluate Deep Learning models in accordance with the Euro NCAP 2020 standard. As an embodiment of the Digital Twin concept, the usage of such virtual-world technology is able to significantly reduce costs and speed up the process of developing autonomous vehicles in the real world.

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Panasonic R&D Center Singapore Achieving the World’s Top Best Accuracy for Face Recognition

In collaboration with the National University of Singapore (NUS) and the Innovation Center of Connected Solutions of Panasonic Corporation, Panasonic R&D Center Singapore has recently developed face recognition technology that has achieved the world’s Top Best Accuracy for Face Recognition by benchmarking the dataset covering all the conditions taken in the surveillance market, the dataset of which is provided by the National Institute of Standards and Technology (NIST).

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