Complex inner-city junctions are among the most critical traffic areas for injury and fatal accidents. The development of highly automated driving (HAD) systems struggles with the complex and hectic everyday life within those areas. Sensor-equipped smart infrastructures, which can communicate and cooperate with vehicles, are essential to enable a holistic scene understanding to resolve occlusions drivers and vehicle perception systems for themselves can not cover. We introduce an intelligent research infrastructure equipped with visual sensor technology, located at a public inner-city junction in Aschaffenburg, Germany. A multiple-view camera system monitors the traffic situation to perceive road users' behavior. Both motorized and non-motorized traffic is considered. The system is used for research in data generation, evaluating new HAD sensors systems, algorithms, and Artificial Intelligence (AI) training strategies using real-, synthetic- and augmented data. In addition, the junction features a highly accurate digital twin. Real-world data can be taken into the digital twin for simulation purposes and synthetic data generation.

翻译：复杂的城市中心交叉路口是导致伤害和致命事故的最关键交通区域之一。高度自动化驾驶（HAD）系统的发展在这类区域复杂而繁忙的日常交通中面临挑战。配备传感器且能与车辆通信和协作的智慧基础设施，对于实现整体场景理解、解决驾驶员及车辆感知系统自身无法覆盖的遮挡问题至关重要。我们在德国阿沙芬堡的一个公共城市中心交叉路口，介绍了一套配备视觉传感器技术的智能研究基础设施。多视角摄像头系统持续监控交通状况，以感知道路使用者的行为，同时涵盖机动车与非机动车交通。该系统用于数据生成研究，以及利用真实数据、合成数据和增强数据评估新型HAD传感器系统、算法和人工智能（AI）训练策略。此外，该交叉路口还拥有高精度数字孪生模型，可将真实世界数据导入数字孪生模型进行仿真和合成数据生成。