High-precision digital traffic recording as a basis for future mobility research
This project aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public roads. The goal is to record traffic events at various relevant locations with high precision and to collect data as a basis for the development and validation of current and future sensor technologies as well as automated driving functions. The recorded data will be stored on a central data server and made available to selected research institutions and partners. They will thus also serve as a basis for the research fields of Big Data and Machine Learning in the field of automotive engineering. In addition, the module will serve as a platform for location-independent testing of Intelligent Transport Systems (ITS) in real traffic. For this purpose, it is necessary to develop a concept for a mobile modular system of measuring stations for high-precision traffic data acquisition and Vehicle-to-X (V2X) communication, which enables a temporary installation of a communication and sensor infrastructure at different locations. In this way, a valuable foundation is created for research and development on groundbreaking systems and functions. The state of North Rhine-Westphalia has the opportunity by providing this modular construction kit at measuring stations to enable research and development of innovative networked and automated systems in public transport and thus to further expand its attractiveness as a research and business location for the automotive and IT/mobile communications industries.
In addition to the overall project management, the ika is responsible for the conceptual design as well as the development of the modular hardware architecture and also supports the development of the software architecture. Four mobile measuring stations, so-called mobile ITS-Ss, as well as a mobile receiving server are in use. Each measuring station is equipped with two LiDARs and two video cameras with which the surrounding traffic events are recorded. The recorded raw sensor data is used to detect traffic participants with the help of artificial neural networks and to extract their trajectories for later development purposes. During the measurements, all video data is sent to the mobile receiver server in the first step, where it is automatically anonymized before further processing takes place. Therefore no personal data is recorded.
Due to the fully self-sufficient power supply of the mobile measuring stations as well as the mobile receiving server, it is possible to record individual measuring cross sections in real traffic for a period of several weeks. Following such a measurement, the collected sensor data are transferred to a central server for further research purposes.
Besides the ika, the project consortium consists of the Visual Computing Institute (VCI) of the RWTH Aachen University and the company Neurosoft.