Gierecker, JohannJohannGiereckerSchüppstuhl, ThorstenThorstenSchüppstuhl2022-01-062022-01-062021-11-26Procedia CIRP 104 (): 981–986 (2021)http://hdl.handle.net/11420/11414Manual assembly often lacks process monitoring since information feedback is only generated by the worker. Machine vision systems thereby offer the possibility to automatically derive process states without intervening the work in progress. Recent approaches in the field of sensor planning and advances in sensor simulation allow automatic machine vision design but simultaneously require detailed knowledge of relevant object features which is difficult to obtain. Therefore, this paper introduces a novel method to derive task-specific viewpoints for the inspection of assembly states supporting a simulation-based pipeline to configure the inspection setup automatically.en2212-82712021981986Elsevierhttps://creativecommons.org/licenses/by-nc-nd/4.0/assembly monitoringmachine visionproduction automationsensor planningsensor simulationTechnikIngenieurwissenschaftenConference Paper10.15480/882.408010.1016/j.procir.2021.11.16510.15480/882.4080Other