减轻松散动物-车辆事故:远景与挑战

W. Saad, Abdulaziz S. Alsayyari
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引用次数: 8

摘要

毫无疑问,利用智能检测系统来监测穿越高速公路的流浪动物已经成为一种必要,以减少据报道世界范围内大量的动物-车辆事故,其中一些事故本质上是致命的。例如,在沙特阿拉伯王国,松散的骆驼是动物-车辆事故的主要原因,这些事故通常造成死亡和伤害,并造成终身后果。松散的动物因国而异。例如,在美国,动物交通事故经常涉及鹿和驼鹿,在印度则涉及牛和大象。这类事故大多发生在夜间和多雾多尘的天气。因此,如何缓解这一现象已成为近年来的研究热点,各种检测系统应运而生。本文对动物-车辆方法进行了综述和比较。此外,还调查了一些流行的系统,并对它们的优缺点进行了研究。最后,总结了设计可靠的动物检测系统所面临的挑战,并提出了骆驼动物-车辆避碰系统模型。
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Loose Animal-Vehicle Accidents Mitigation: Vision and Challenges
Undoubtedly, utilizing smart detection systems of loose animals crossing highways has become a necessity to reduce the reportedly high number of animal-vehicle accidents worldwide, where some of such accidents are fatal in their nature. In the Kingdom of Saudi Arabia, for example, loose camels are the main cause of animal-vehicle accidents, which commonly cause deaths and injuries with lifelong consequences. Loose animals vary from one country to another. For instance, animal-vehicle accidents often involve deer and moose in the USA and cows and elephants in India. Mostly, such accidents occur at nights and in foggy and dusty weathers. Therefore, the mitigation of such phenomenon has become a hot research topic in recent years and as a result variety of detection systems have been proposed. In this paper, a survey of animal-vehicle approaches are presented and compared. Moreover, a number of popular proposed systems are investigated and a study of their advantages and disadvantages are presented. Finally, the challenges for designing a reliable animal detection system are summarized and a proposed model for animal-vehicle collision avoidance system for camels is presented.
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