Conference proceeding
Design and Implementation of a Nocturnal Animal Detection Intelligent System in Transportation Applications
INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2021: TRANSPORTATION OPERATIONS, TECHNOLOGIES, AND SAFETY, pp 438-449
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Wildlife vehicle collision, commonly called roadkill, is a nascent threat to both humans and wild animals. The collision results in property damage, injuries, death, and financial losses to society and mankind. An automobile system is integrated with alert notification, image processing, and machine learning models. This study explores a newer dimension for wild animal detection and signals the driver during active nocturnal hours. The intelligent system uses histogram of oriented gradients (HOG), which extracts the essential thermography image features; next, the extracted features are fed to the pre-trained, convolutional neural network (1D-CNN). This intelligent system has been tested on a set of real scenarios and gives approximately 91% and 92% accuracy in the alert notification and detection of the wild animals in the transportation road system in the city of San Antonio, TX, USA. This proposed system will contribute to the reduction of vehicle collisions caused by wild animals.
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Details
- Title
- Design and Implementation of a Nocturnal Animal Detection Intelligent System in Transportation Applications
- Creators
- Yuvaraj Munian - The University of Texas at San AntonioAntonio Martinez-Molina - Univ Texas San Antonio, Dept Architecture, San Antonio, TX USAMiltiadis Alamaniotis - The University of Texas at San Antonio
- Contributors
- C R Bhat (Editor)
- Publication Details
- INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2021: TRANSPORTATION OPERATIONS, TECHNOLOGIES, AND SAFETY, pp 438-449
- Publisher
- Amer Soc Civil Engineers
- Number of pages
- 12
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Architecture, Design, and Urbanism
- Web of Science ID
- WOS:000711337600038
- Scopus ID
- 2-s2.0-85108026913
- Other Identifier
- 991021890002504721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Transportation
- Transportation Science & Technology