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Augmented Reality Vehicle system: Left-turn maneuver study

机译:增强现实车辆系统:左转操纵研究

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摘要

Augmented Reality "AR" is a promising paradigm that can offer users with real-time, high quality visualization of a wide variety of information. In AR, virtual objects are added to the real-world view in real time. The AR technology can offer a very realistic environment for enhancing drivers' performance on the road and testing drivers' ability to react to different road design and traffic operations scenarios. This can be achieved by adding virtual objects (people, vehicles, hazards, and other objects) to the normal view while driving an actual vehicle in a real environment. This paper explores a new Augmented Reality Vehicle "ARV" system and attempts to apply this new concept to a selected traffic engineering application namely the left-turn maneuver at two-way stop-controlled "TWSC" intersec tion. This TWSC intersection experiment, in addition to testing the feasibility of the appli cation, tries to quantify the size of gaps accepted by different driver's characteristics (age and gender). The ARV system can be installed in any vehicle where the driver can see the surrounding environment through a Head Mounted Display "HMD" and virtual objects are generated through a computer and added to the scene. These different environments are generated using a well defined set of scenarios. The results from this study supported the feasibility and validity of the proposed ARV system and they showed promise for this system to be used in the field-testing for the safety and operation aspects of transportation research. Results of the left-turn maneuver study revealed that participants accepted gaps in the range of 4.0-9.0 s. This finding implies that all gaps below 4 s are rejected and all gaps above 9 s are likely to be accepted. The mean value of the left-turn time was 4.67 s which is a little bit higher than reported values in the literature (4.0-4.3 s). Older drivers were found to select larger gaps to make left turns than younger drivers. The conservative driving attitude of older drivers indicates the potential presence of reduced driving ability of elderly. Drivers' characteristics (age and gender) did not significantly affect the left-turn time. Based on the survey questions that were handed to participants, most participants indicated good level of comfort with none or small level of risk while driving the vehicle with the ARV system. None of the participants felt any kind of motion sickness and the participants' answers indicated a good visibility and realism of the scene with overall good system fidelity.
机译:增强现实“ AR”是一种很有前途的范例,可以为用户提供各种信息的实时,高质量可视化。在AR中,虚拟对象会实时添加到现实世界视图中。 AR技术可以提供一个非常现实的环境,以增强驾驶员在道路上的性能并测试驾驶员对不同道路设计和交通运营场景做出反应的能力。这可以通过在实际环境中驾驶实际车辆时将虚拟对象(人员,车辆,危险和其他对象)添加到普通视图中来实现。本文探索了一种新的增强现实车辆“ ARV”系统,并试图将此新概念应用到选定的交通工程应用中,即双向停止控制的“ TWSC”相交处的左转机动。 TWSC交叉路口实验除了测试应用程序的可行性外,还试图量化不同驾驶员特征(年龄和性别)所接受的差距的大小。 ARV系统可以安装在任何驾驶员可以通过头戴式显示器“ HMD”看到周围环境,并且通过计算机生成虚拟对象并将其添加到场景的车辆中。这些不同的环境是使用一组定义明确的方案生成的。这项研究的结果支持了拟议的ARV系统的可行性和有效性,并且表明该系统有望用于交通运输研究的安全性和运营方面的现场测试。左转机动研究的结果表明,参与者接受了4.0-9.0 s的间隙。这一发现意味着所有低于4 s的间隙都将被拒绝,所有高于9 s的间隙都可能被接受。左转时间的平均值为4.67 s,比文献中报道的值(4.0-4.3 s)稍高。发现年纪大的驾驶员比年纪小的驾驶员选择更大的间隙左转。老年驾驶员的保守驾驶态度表明,老年人驾驶能力可能降低。驾驶员的特征(年龄和性别)对左转时间没有明显影响。根据向参加者提出的调查问题,大多数参加者在驾驶带有ARV系统的车辆时都表示舒适度高,没有或只有很小的风险。没有一个参与者感到任何一种晕动病,并且参与者的回答表明该场景具有良好的可见性和真实感,并且总体上具有良好的系统保真度。

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