Guest Editorial: Data Analytics Streamlines Autonomous Driving

نویسندگان

چکیده

Artificial Intelligence (AI) incorporates the decision-making engine that is responsible for automating vehicle driving without human intervention. However, reliable and accurate decisions can only be concluded when a history of events has been accumulated by AI an extended set operations over prolonged periods. The are associated with status transitions while traveling between different geolocations. Vehicle sensors also generate sets various information reports platform visuals its surrounding domains including nearby objects. automation system acquires additional data from vehicle-to-vehicle communications intelligent transportation systems. This diverse helps to draw Augmented Reality (AR) Virtual (VR) interact together produce new combined Mixed (MR). Correlating all those realities peripheral sources leads 3D synergy namely eXtended (XR). aggregation supported key technology enablers such as cross-layer cyber-physical features Bigdata storage. Training families labeled improves accuracy machine learning predictions safety autonomous vehicles. proves acquiring more smart categorizing will enrich autonomy system.

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ژورنال

عنوان ژورنال: IEEE communications standards magazine

سال: 2021

ISSN: ['2471-2825', '2471-2833']

DOI: https://doi.org/10.1109/mcomstd.2021.9392785