A New Hybrid Architecture for Real-Time Detection of Emergency Vehicles-Reference-Cited by-同舟云学术

A New Hybrid Architecture for Real-Time Detection of Emergency Vehicles

Published:2020 Issue: Volume: Page:413-422
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Jonnadula Eshwar Prithvi,Khilar Pabitra Mohan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-4018-9_37

Reference18 articles.

1. Deep Learning for Videos: A 2018 Guide to Action Recognition. http://blog.qure.ai/notes/deep-learning-for-videos-action-recognition-review

2. Andronicus, F., Maheswaran: Intelligent ambulance detection system. Int. J. Sci. Eng. Technol. Res. (IJSETR) 4(5), 1462–1466 (2015)

3. Bhoi, S.K., Khilar, P.M.: Vehicular communication: a survey. IET Netw. 3(3), 204–217 (2013)

4. Dangi, V., Parab, A., Pawar, K., Rathod, S.: Image processing based intelligent traffic controller. Undergrad. Acad. Res. J. (UARJ) 1(1) (2012)

5. Deepa, Navya, K., Manisha, K., Manu, M., Kshama S: Smart detection of emergency vehicle in traffic. Int. J. Curr. Eng. Sci. Res. (IJCESR) 5(4), 15–18 (2018)

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1. A Novel Approach for Emergency Vehicle Detection;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

2. Enhancing Traffic Management with YOLOv5-Based Ambulance Tracking System;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

3. Internet of Things-Based Smart Traffic Light System for Hassle Free Movement of Emergency Vehicles;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-04-21