通过人工智能检测V2X环境中的行人和动物,最大限度地提高公路安全

R. Maity, Jivthesh M R, Pralay Sankar Maitra, Sanjeevi G, Gaushik M R, Sai Shibu N B, K. U. Menon
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引用次数: 2

摘要

涉及行人和动物的道路交通事故可能对有关各方造成严重后果。这些类型的事故可能发生在行人或动物过马路时,通常是由于能见度低、驾驶员分心或缺乏适当的安全措施造成的。在许多情况下,这些事故可以通过实施人行横道和野生动物交叉路口等措施,以及教育司机注意周围环境和警惕道路上或附近行人和动物的重要性来预防。我们可以通过采取措施防止这类事故,努力为所有道路使用者建立一个更安全、更有效的交通系统。本文提出了一种支持人工智能的行人和动物检测架构,用于支持v2x的高速公路。该系统利用人工智能检测道路上的行人和动物,然后使用高速公路上现有的V2X通信协议将这些信息传输给其他道路使用者。本文还介绍了利用人工智能检测动物和行人的算法。我们预期,拟议中的系统将减少交通事故,并挽救生命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximising Highway Safety through AI-enabled Detection of Pedestrians and Animals in V2X Environments
Road accidents involving pedestrians and animals can have serious consequences for all parties involved. These types of accidents can occur when pedestrians or animals cross the road and can often be caused by poor visibility, driver distractions, or a lack of appropriate safety measures. In many cases, these accidents can be prevented by implementing measures such as pedestrian crossings and wildlife crossings, as well as by educating drivers about the importance of paying attention to their surroundings and being alert to pedestrians and animals on or near the road. We can work towards a safer and more efficient transportation system for all road users by taking steps to prevent these types of accidents. This paper proposes an AI-enabled pedestrian and animal detection architecture for V2X-enabled highways. The proposed system leverages AI to detect pedestrians and animals on the road and then transmit this information to other road users using the existing V2X Communication protocol available on the highways. The paper also explains the algorithm to detect animals and pedestrians using AI. We envision that the proposed system will reduce road accidents and save lives.
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