Problem statement
Nowadays, the camera-based environment recognition of automated vehicles is only insufficiently adapted to the lighting equipment of the vehicles. Especially in darkness, the visibility of unlit and non-lit road users is greatly reduced not only for humans but also for cameras. The use of alternative sensor technology such as LiDAR or radar also currently entails reduced information content.
Project objective
The aim of the project is to develop vehicle front lighting that optimally supports the camera sensor technology for environment perception for automated driving. With such adaptive and selective illumination, it should be adapted to the current traffic situation and thus contribute to an improved environment model. This can increase traffic safety, energy efficiency and comfort. As a second main objective, a virtual mapping in the form of a rapid prototyping development environment is also to be created.
Realization
At the beginning of the project, the requirements for the camera and illumination components are worked out and real route data is collected. This allows information such as reflection properties or shoring to be taken into account for scene illumination, which helps to improve the perception of the surroundings. With the aid of a novel digital development environment, the necessary headlamp systems are developed, which are then validated and optimized in the form of a demonstrator.
Tasks 3D Mapping Solutions
The tasks of 3D Mapping Solutions GmbH are the acquisition and detailed mapping of the defined test area as HD map as well as virtual 3D environment. The test area will contain selected routes with proportions of city, interurban, highway and, for example, underpasses/tunnels in order to cover as many use cases as possible.
3D Mapping digitizes the test area with high-precision laser scanners, cameras (color/infrared) and, if necessary, radar. 3D Mapping develops the basis for the provision of reference data for sensor simulation applications. 3D Mapping provides an exemplary data model as a highly accurate reference map including 3D model as a basis for the light simulation applications. The base map will also include elements from driving simulation, such as information on the logical linking of lanes, turning relations, intersection models, traffic lights, etc.
Project duration
6/2021 – 5/2024
Project website
