Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks-Reference-Cited by-同舟云学术

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Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks

Published:2018-06-12 Issue:6 Volume:18 Page:1913
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Saleh Khaled,Hossny Mohammed,Nahavandi Saeid

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/18/6/1913/pdf

Reference31 articles.

1. Victorian Drivers Warned to be Careful of Wayward Wildlife as Collisions Spike in Winter,2016

2. Volvo’s driverless cars ’confused’ by kangarooshttps://www.bbc.com/news/technology-40416606

3. Act Kangaroo Management Plan;Frawley,2010

4. Collisions with wildlife: The rising toll;Weir;Can. Med. Assoc. J.,2002

5. Enhancing the Perceived Threat of Vehicle Approach to Deer

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1. Vehicle detection in video by using artificial neural networks in comparison with support vector machines;AIP Conference Proceedings;2024

2. A Review on Wild Animal Recognition Techniques Using Deep Learning;SSRN Electronic Journal;2024

3. Emerging opportunities for wildlife conservation with sustainable autonomous transportation;Frontiers in Ecology and the Environment;2023-12-07

4. Performance Analysis of Vehicle Detection using Support Vector Machine Comparing with K-Nearest Neighbor Algorithm;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25

5. Characteristics of kangaroo-related motor vehicle crashes;Injury;2022-09

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