Every year worldwide more than one million people die and a further 50 million people are injured in traffic accidents. Therefore, the development of car safety features that actively support the driver in preventing accidents, is of utmost importance to reduce the number of injuries and fatalities. However, to establish this support it is necessary that the advanced driver assistance system (ADAS) understands the driver’s intended behavior in advance. The growing variety of sensors available for vehicles together with improved computer vision techniques, hence led to increased research directed towards inferring the driver’s intentions. This article reviews 64 driver intention recognition studies with regard to the maneuvers considered, the driving features included, the AI methods utilized, the achieved performance within the presented experiments, and the open challenges identified by the respected researchers. The article provides a high level analysis of the current technology readiness level of driver intention recognition technology to address the challenges to enable reliable driver intention recognition, such as the system architecture, implementation, and the purpose of the technology.

中文翻译：

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驾驶员意图识别：最先进的评论


全球每年有超过一百万人因交通事故死亡，另有五千万人受伤。因此，开发积极支持驾驶员预防事故的汽车安全功能对于减少伤亡人数至关重要。然而，要建立这种支持，高级驾驶员辅助系统 (ADAS) 必须提前了解驾驶员的预期行为。可用于车辆的传感器种类不断增加，加上计算机视觉技术的改进，因此导致越来越多的研究旨在推断驾驶员的意图。本文回顾了 64 项驾驶员意图识别研究，涉及所考虑的操作、包括的驾驶功能、所使用的人工智能方法、所提出的实验中所实现的性能以及受人尊敬的研究人员确定的开放挑战。本文对驾驶员意图识别技术当前的技术准备水平进行了高层次分析，以解决实现可靠的驾驶员意图识别的挑战，例如系统架构、实现和技术目的。