Traffic Sign Detection Using Deep Learning
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Date
2020-09-01T06:25:24Z
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Abstract
Automatic detection and recognition of traffic signs play a crucial role in management of the traffic-sign inventory. The study is about trying to determine and measure the advantages of training a detector and more generally full autonomous driving systems inside a virtual environment. Proper management of traffic-sign inventory is an important task in ensuring safety and efficiency of the traffic flow. Most often this task is performed manually. Traffic signs are captured using a vehicle-mounted camera and manual localization and recognition is performed off-line by a human operator to check for consistency with the existing database.
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Traffic Sign Detection Using Deep Learning, MADHURA RAMOJWAR, MEGHANA MOHANDAS, HASIKA CHELLADURAI, 1NH16CS055, 1NH16CS062, 1NH16CS037