Drabek, ChristianChristianDrabekKosmalska, AnnaAnnaKosmalskaWeiß, GereonGereonWeißIshigooka, TasukuTasukuIshigookaOtsuka, SatoshiSatoshiOtsukaMizuochi, MarikoMarikoMizuochi2022-03-1529.9.20212021https://publica.fraunhofer.de/handle/publica/41229210.1007/978-3-030-83903-1_11Co-working and interaction of automated systems and humans in a warehouse is a significant challenge of progressing industrial systems' autonomy. Especially, blind corners pose a critical scenario, in which infrastructure-based sensors can provide more safety. The automation of vehicles is usually tied to an argument on improved safety. However, current standards still rely on the awareness of humans to avoid collisions, which is limited at corners with occlusion. Based on the examination of blind corner scenarios in a warehouse, we derive the relevant critical situations. We propose an architecture that uses infrastructure sensors to prevent human-robot collisions at blind corners with respect to automated forklifts. This includes a safety critical function using wireless communication, which sporadically might be unavailable or disturbed. Therefore, the proposed architecture is able to mitigate these faults and gracefully degrades performance if required. Within our extensive evaluation, we use a warehouse simulation to verify our approach and to estimate the impact on an automated forklift's performance.endriverless industrial truckblind cornerinfrastructure sensorwarehousesafetyvehicle automationsafety criticalconference paper