Prünte, Philipp JulianPhilipp JulianPrünteDetermann, JonathanJonathanDetermannMoenck, KenoKenoMoenckErlich, EidanEidanErlichPatki, DhananjayDhananjayPatkiBitte, FrankFrankBitteGomse, MartinMartinGomseSchüppstuhl, ThorstenThorstenSchüppstuhl2026-03-042026-03-04202618th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2024 (2026)https://hdl.handle.net/11420/61819Today’s rapidly evolving industrial landscape and the progressive digitization of products, processes, and resources require massive amounts of online data on the current production and logistical status. Fixed-positioned sensor systems have a constrained Field of View (FoV), while a mobile system can significantly extend these, enabling further applications due to the larger observed space. In this work, we elaborate on potential applications that utilize incidentally acquired data from various locations from the perspective of a mobile, vision-based sensor system. We exemplarily demonstrate an application within the scope of capturing and triggering the intralogistics chain with data from a vision-based sensor system that can be carried by an Autonomous Guided Vehicle (AGV).en2026102107Elsevierhttps://creativecommons.org/licenses/by-nc-nd/4.0/incidental data acquisitionlogistics monitoringmobile sensor systemvisual environment perceptionTechnology::629: Other Branches::629.8: Control and Feedback Control SystemsTechnology::670: ManufacturingConference Paperhttps://doi.org/10.15480/882.1680410.1016/j.procir.2026.01.01910.15480/882.16804Conference Paper