Automatic Recognition of Wild Animals for Road Accident Prevention Using Deep Learning with Yolov4

Author:

Diop Papa Assane,Gueye Amadou Dahirou,Deme Malal

Publisher

Springer Nature Switzerland

Reference19 articles.

1. So that roads no longer kill in Senegal, https://www.afro.who.int/fr/news/pour-que-les-routes-ne-tuent-plus-au-senegal. Accessed 19 Aug 2022

2. S.M. Sarr, M. Gueye, A. Aziz, Impacts des collisions avec les véhicules le long du corridor routier Dakar-Bamako sur les populations fauniques du Parc National du Niokolo Koba, au Sénégal. 12 (2022)

3. I. Global, Role of CCTV cameras: Public, privacy and protection, https://www.ifsecglobal.com/video-surveillance/role-cctv-cameras-public-privacy-protection/. Accessed 03 Oct 2022

4. Communications in Computer and Information Science;PA Diop,2022

5. Z. Li, J. Wang, An improved algorithm for deep learning YOLO network based on Xilinx ZYNQ FPGA, in 2020 International Conference on Culture-oriented Science & Technology (ICCST), (2020), pp. 447–451. https://doi.org/10.1109/ICCST50977.2020.00092

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