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ROAD DEPARTURE PROTECTION - A MEANS FOR INCREASING DRIVING SAFETY BEYOND ROAD LIMITS

机译:道路离开保护 - 一种提高驾驶安全超越道路限制的手段

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Despite great technical progress in vehicle safety, according to the WHO approximately 1.2 million fatalities occur on the world's roads every year. Thus great efforts are undertaken to reduce the number of road fatalities and serious accidents, or at least to mitigate their impact on road users. The introduction of environment perception based Advanced Driver Assistance Systems (ADAS) in road vehicles is expected to improve traffic safety significantly. In today's vehicles, the prevalent ADAS focus primarily on the longitudinal driving direction, e.g. Autonomous Emergency Braking (AEB) systems and Adaptive Cruise Control. Whilst the functional range of these systems continues to expand, there exists a very large portion of critical vehicle crashes which are not addressed, mainly caused by vehicles leaving the roadway laterally. Today, Electronic Stability Control (ESC) is one of the only established Active Safety Systems covering emergency situations in the lateral direction, and always dealing within the physical limits of vehicle dynamics. Despite the very high effectiveness of ESC systems, there remain many cases in which it is not possible to prevent unintended lateral roadway departures, especially in cases of driver drowsiness or inattention, e.g. on American highways or European rural roads. Preventing roadway departure crashes, which cannot be covered by today's lateral guidance/lane keeping ADAS, is motivation behind developing a system for road departure protection. Road Departure Protection systems expand today's lateral ADAS by a ctive road keeping in emergency situations before reaching the physical limits of vehicle dynamics. Based on environment perception means like road edge detection or road course preview, the system should actively intervene when unintentionally leaving the roadway. By automated vehicle control, the system keeps the vehicle on the roadway, thereby protecting against roll -over accidents or collisions with roadside obstacles or oncoming traffic. This paper presents the roadway departure problem we face today via accident data and different use cases and gives insight into the state of the art Active Safety functions and research activities. The functionalities to address the selected use cases will be described, including functional architectures, a road edge detection algorithm, approaches to preview the course of the road, sensor fusion concepts, a function cascade, and activation strategies. First test data will illustrate the function and working area of a Road Departure Protection system. A reliable and real-time capable perception algorithm will be demonstrated. For this algorithm, different image processing techniques are applied to mono camera images to estimate the parameters of a geometric model of the road edge. It works without any supplementary knowledge about the road infrastructure. Two system architectures will be presented, which differ in the used surrounding sensors, actuators, functional capabilities, and system cost. One variant uses a radar sensor, stereo camera and an Electric Power Steerin g (EPS) system, whereas another solution uses a mono camera and an ESC system. The vehicle steering capabilities and limitations of the ESC based steering are discussed in the paper. Finally, an outlook to future work and possible extensions will be given.
机译:尽管车辆安全技术进步较高,但根据世界卫生组织,每年都在世界道路上发生了约120万个死亡。因此,努力努力减少道路死亡人数和严重事故,或者至少减轻对道路使用者的影响。基于环境感知的高级驾驶员辅助系统(ADAS)预计将显着提高交通安全。在当今的车辆中,普遍的ADAS主要侧重于纵向行驶方向,例如纵向行驶方向。自主紧急制动(AEB)系统和自适应巡航控制。虽然这些系统的功能范围继续扩展,但是存在一部分非常大的关键车辆崩溃,这些临界车辆崩溃未解决,主要由离开巷道的车辆横向引起。如今,电子稳定性控制(ESC)是覆盖横向上的紧急情况的唯一建立的主动安全系统之一,并且始终在车辆动态的物理范围内处理。尽管ESC系统有效性很高,但仍然存在许多情况,其中不可能防止意外的横向巷道偏离,特别是在驾驶员嗜睡或疏忽的情况下,例如,在美国高速公路或欧洲农村道路上。防止道路出发崩溃,今天不能被当今横向引导/通道覆盖的崩溃,是开发道路偏离保护系统背后的动机。道路偏离保护系统通过在达到车辆动态的物理限制之前,在紧急情况下保持在紧急情况下的CTIVE道路扩展了今天的横向ADA。基于环境感知意味着道路边缘检测或道路课程预览,系统应在无意地离开道路时主动干预。通过自动化车辆控制,系统将车辆保持在道路上,从而保护滚动的事故或与路边障碍物的碰撞或迎面而来的交通。本文展示了我们今天通过事故数据和不同用例面临的道路离开问题,并深入了解最先进的主动安全功能和研究活动。的功能,以解决所选择的用例进行说明,包括功能架构中,道路边缘检测算法,方法预览道路的过程中,传感器融合的概念,功能级联,并激活策略。第一个测试数据将说明道路偏离保护系统的功能和工作区域。将对可靠和实时的能力感知算法进行说明。对于该算法,将不同的图像处理技术应用于单声道相机图像以估计路边的几何模型的参数。它没有任何关于道路基础设施的补充知识。将呈现两个系统架构,这些架构在围绕的周围传感器,执行器,功能性能和系统成本不同。一个变体使用雷达传感器,立体声相机和电动驾驶员G(EPS)系统,而另一种解决方案使用单声道相机和ESC系统。纸张讨论了基于基于ESC转向的车辆转向能力和限制。最后,将给出未来的工作和可能的扩展的前景。

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