Cooperative interaction with cyclists in automated driving – KIRa

自动驾驶中与骑行者的合作互动 â KIRa

• 批准号: 273258218
• 负责人: Professor Dr. Josef F. Krems
• 金额: --
• 依托单位: Institut für Informationstechnik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/273258218?language=en
• 关键词: Cooperative; interaction; cyclists; automated; driving

The interdisciplinary project KIRa at Chemnitz University of Technology aims at investigating solutions for cooperative interaction between automated vehicles and vulnerable road users (VRU) with a focus on bicyclists and pedestrians in obstruction situations. The research goals will be realized through a close interdisciplinary cooperation between engineering and traffic psychology. Main scenarios are complex interaction situations in low-speed urban areas (such as parking areas) which require implicit and/or explicit communication. The project is part of the research areas "3.2 Situationsprädiktion und Intentionserkennung" and "3.6 Systemergonomie" of the SSP 1835 proposal and a consistent continuation of the pre-project KIVI. Main goals and extensions of KIVI are the examination of how automated vehicles can assess and predict cooperation situations with bicycles and obstructed pedestrians, which cooperation signals can be used, how these signals need to be parameterised and how connected interaction architectures can be implemented efficiently. KIRa combines interdisciplinary approaches and innovative research methods such as video simulation studies incorporating embodied cognition, decentral acquisition of VRU-data and information exchange under connected conditions. The work plan starts with the acquisition of video- and measurement data using different sensors in pre-specified real-world scenarios with interaction demands. These scenarios will be integrated in the existing use-case-catalogue of the SPP 1835. The trajectories will be shared with all SPP-projects using the XML-format defined in the SPP. Based on the video material, experimental user studies are carried out to determine specific interaction parameters regarding implicit and explicit communication. Algorithms will be developed based on kinematic and georeferenced data of all road users in combination with infrastructure sensor information. Aim of the algorithms is the prediction of VRU-trajectories and the situation-dependent evaluation of VRU behaviour patterns in order to parameterise manoeuvre planning of the automated test vehicle. Based on all results, comprehensive on-road tests will be carried out including pedestrians, bicyclists and the automated test vehicle. These real-world tests allow for testing and evaluating all developed algorithms, decentral data acquisition, communication and prediction of VRU-trajectories.

切姆尼茨理工大学的跨学科项目KIRa旨在研究自动驾驶汽车和弱势道路使用者（VRU）之间合作互动的解决方案，重点关注障碍情况下的骑自行车者和行人。研究目标将通过工程和交通心理学之间的密切跨学科合作来实现。主要场景是低速城市区域（如停车场）中需要隐式和/或显式通信的复杂交互情况。该项目是SSP 1835提案的研究领域“3.2 Situationsprädiktion und Intentionserkennung”和“3.6 Systemergonomie”的一部分，也是项目前KIVI的一贯延续。KIVI的主要目标和扩展是检查自动驾驶汽车如何评估和预测与自行车和障碍行人的合作情况，可以使用哪些合作信号，这些信号需要如何参数化以及如何有效地实现连接的交互架构。KIRa结合了跨学科的方法和创新的研究方法，如视频模拟研究，结合了具体的认知，VRU数据的分散采集和连接条件下的信息交换。工作计划首先是在预先指定的具有交互需求的真实场景中使用不同的传感器采集视频和测量数据。这些场景将被集成到SPP 1835的现有用例目录中。这些轨迹将使用SPP中定义的XML格式与所有SPP项目共享。基于视频材料，实验用户进行研究，以确定具体的互动参数，关于隐式和显式通信。将根据所有道路使用者的运动学和地理参考数据，结合基础设施传感器信息，开发算法。该算法的目的是预测的VRU轨迹和VRU行为模式的情况依赖的评估，以参数化的自动测试车辆的机动规划。根据所有结果，将进行全面的道路测试，包括行人，骑自行车的人和自动测试车辆。这些真实世界的测试允许测试和评估所有开发的算法，分散的数据采集，通信和预测的VRU轨迹。