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Vision based smart driver assisting system for locomotives

机译:基于视觉的机车智能驾驶员辅助系统

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摘要

Railway transportation is a predominant transportation medium in the world. The railway transportation is one of the conventional systems that subjects to many accidents annually in most of the countries. Comparatively to other transportation systems, accident preventive methods for locomotives are not in the best use. This paper presents about a novel vision based driver assisting system for locomotives. The proposed system is capable of detecting an obstacle in the railway track. If the obstacle is within the danger zone, the driver will be notified to apply sufficient amount of brake to avoid the collision with the obstacle. The danger zone is estimated based on the current velocity of the train. Furthermore, the proposed system can be fixed into any existing locomotive without undertaking any modifications for the existing systems of the locomotive and the system is cost effective compared to the other existing methods. In order to validate the overall functionality of the system, a prototype of the system has been developed and field trails have been carried out with actual locomotives. According to the obtained experimental results, the functionality of the system has been found to be satisfactory.
机译:铁路运输是世界上主要的运输媒介。在大多数国家,铁路运输是传统系统之一,每年都会发生许多事故。与其他运输系统相比,机车的事故预防方法不是最佳的使用方法。本文介绍了一种新颖的基于视觉的机车驾驶员辅助系统。所提出的系统能够检测铁轨中的障碍物。如果障碍物在危险区域内,将通知驾驶员施加足够的制动量,以避免与障碍物碰撞。危险区域是根据列车的当前速度估算的。此外,所提出的系统可以固定到任何现有机车中,而无需对机车的现有系统进行任何修改,并且该系统与其他现有方法相比具有成本效益。为了验证系统的整体功能,已开发了系统原型,并使用实际机车进行了野外追踪。根据获得的实验结果,发现该系统的功能令人满意。

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