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Despite the abundant solution availability, this research throws a new spotlight on wildlife-vehicle collision mitigation using highly efficient artificial intelligence during nighttime hours. This study focuses mainly on arousal mechanisms of the \u201cHistogram of Oriented Gradients (HOG)\u201d intelligent system with extracted thermography image features, which are then processed by a trained, convolutional neural network (1D-CNN). The above computer vision\u00a0\u2013 deep learning-based alert system has an accuracy between 94%, and 96% on the arousal mechanisms with the empowered real-time data set utilization.<\/jats:p>","DOI":"10.3233\/idt-210204","type":"journal-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T19:08:15Z","timestamp":1638904095000},"page":"707-720","source":"Crossref","is-referenced-by-count":3,"title":["Active advanced arousal system to alert and avoid the crepuscular animal based vehicle collision"],"prefix":"10.1177","volume":"15","author":[{"given":"Yuvaraj","family":"Munian","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA"}]},{"given":"M.E. Antonio","family":"Martinez-Molina","sequence":"additional","affiliation":[{"name":"Department of Architecture, The University of Texas at San Antonio, TX, USA"}]},{"given":"Miltiadis","family":"Alamaniotis","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA"}]}],"member":"179","reference":[{"unstructured":"Yuvaraj M, Martinez-Molina A, Alamaniotis M. Intelligent System for Detection of Wild Animals Using HOG and CNN in Automobile Applications, 11th Int. Conf. Information, Intell. Syst. Appl. IISA 2020, 2020.","key":"10.3233\/IDT-210204_ref5"},{"doi-asserted-by":"crossref","unstructured":"Saleh K, Hossny M, Nahavandi S. Effective vehicle-based kangaroo detection for collision warning systems using region-based convolutional networks. 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