The main goal of VALISENS is the creation of an overall environmental perception via an innovative sensor system consisting of peripheral infrastructure sensors and the ego-perspective of vehicle sensors, with a focus on providing novel methods and algorithms for fusion, perception, and validation. The aim is to ensure automatic driving functions at levels 3, 4, and 5 in complex environments. To achieve cooperative and comprehensive detection within complex scenarios, existing solutions for infrastructure-based perception, vehicle perception and backend must be newly designed or methodically revised.

The aims of VALISENS are:

1. Environmental perception as a complete system:  Environmental perception based on an overall sensor network achieved by centralized data fusion of vehicle sensor data and infrastructure sensor data to enable secure decisions for highly automated driving. Data exchange will be established using secure, fast, and reliable state-of-the-art communication.
2. Novel methods for data fusion and processing: First-time development of an overall situational picture through novel data fusion and processing algorithms, enabling the provision of environmental information in the edge-cloud (decentralized) as well as in central high-performance cloud clusters.
3. Adapted procedures for validation and condition monitoring: For all sensors based on fused sensor data from the vehicle and reference data from the infrastructure. This includes condition monitoring and predictive maintenance using key indicators from stored sensor, environmental, and operational data. Digital remote inspection can ensure reliable functioning of ADAS systems in real-time via self-testing and condition monitoring.
4. Demonstration: Successfully demonstrating the benefits of this innovative sensor network to provide vehicle and infrastructure data, data fusion and validation within the test fields for connected and automated driving in Ingolstadt and Dresden.