Abstract
This paper is a brief overview of the topic of object recognition and how it can be used to detect different objects present on a busy road. Using this technology, we aim to detect emergency vehicles present on the road so that a free path can be created for them, which would be able to save precious time in time-sensitive situations. The introduction to object recognition includes what is the work done and how it can be executed in the best way possible in an error-free manner. The best results are depicted in our research methodology. In this paper, we compared different methodologies available for object recognition such as YOLO algorithm, Region-based convolutional networks (R-CNN), and Single-Shot Detector (SDD) and ultimately chose YOLO algorithm, which from our results would work optimally in a situation where emergency vehicles need to be detected on a busy road.
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Goel, S., Baghel, A., Srivastava, A., Tyagi, A., Nagrath, P. (2020). Detection of Emergency Vehicles Using Modified Yolo Algorithm. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_69
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DOI: https://doi.org/10.1007/978-981-13-8618-3_69
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