Caroline: An autonomously driving vehicle for urban environments
Journal of Field Robotics - Special Issue on the 2007 DARPA Urban Challenge, Part II
A MDA-based approach for the development of DEVS/SOA simulations
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Gulliver: a test-bed for developing, demonstrating and prototyping vehicular systems
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
MIDE-based sensor management and verification for a self-driving miniature vehicle
Proceedings of the 2013 ACM workshop on Domain-specific modeling
Improving scenario selection for simulations by run-time control-flow analysis
Proceedings of the 2013 Summer Computer Simulation Conference
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Modern vehicles contain nearly 100 embedded control units to realize various comfort and safety functions. These vehicle functions consist of a sensor, a data processing, and an actor layer to react intelligently to stimuli from their context. Recently, these sensors do not only perceive data from the own vehicle but more often also data from the vehicle's surroundings to understand the current traffic situation. Thus, traditional development and testing processes need to be rethought to ensure the required quality especially for safety-critical systems like a collision prevention system. On the example of 1:10 scale model cars, we outline our model-based and composable simulation approach that enabled the virtualized development of autonomous driving capabilities for model cars to compete in an international competition.