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Stereo vision based advanced driver assistance system

机译:基于立体视觉的高级驾驶员辅助系统

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摘要

In recent decades, vehicle manufacturers and system suppliers equipping these vehicles have made considerable efforts to improve their technology and road safety. One of the major advances is the introduction of advanced systems for driver assistance. These assistance systems ensure continuous monitoring of the environment of the vehicle and driving mode, so early detection of potentially hazardous situation. In a critical situation, these systems warn and provide active assistance to the driver and, if necessary, they work automatically to avoid a collision or reduce the consequences of an accident. And for better decision making, these autonomous driver assistance systems advanced certainly require devices capable of performing real scenes taken from the external environment of the vehicle. Various advanced systems for driver assistance based vision are already commercially available, but they have limitations regarding the robustness and adaptability to changing lighting and visual conditions. Related to this point, this paper describe an algorithm in image processing capable of improving the quality of acquired images of the external environment, this algorithm must be integrated in a stereoscopic process that allows the reconstruction of images 3D.
机译:在最近的几十年中,装备这些车辆的车辆制造商和系统供应商为改善其技术和道路安全做出了巨大的努力。主要进步之一是引入了先进的驾驶员辅助系统。这些辅助系统确保对车辆环境和行驶模式进行连续监控,从而及早发现潜在的危险情况。在紧急情况下,这些系统会警告驾驶员并向驾驶员提供主动帮助,并且在必要时会自动运行,以避免发生碰撞或减少事故后果。为了更好的决策,这些先进的自动驾驶辅助系统肯定需要能够执行从车辆外部环境拍摄的真实场景的设备。用于基于驾驶员辅助的视觉的各种先进系统已经可以在市场上买到,但是它们在鲁棒性和适应变化的照明和视觉条件方面存在局限性。与此相关的是,本文描述了一种图像处理算法,该算法能够提高所获取的外部环境图像的质量,该算法必须集成在允许重建3D图像的立体过程中。

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