Virtual Validation of the Manual Assembly of a Power Electronic Unit via Motion Capturing Connected with a Simulation Tool Using a Human Model

Bönig, Jochen; Fischer, Christian; Brossog, Matthias; Bittner, Martin; Fuchs, Markus; Weckend, Holger; Franke, Jörg

doi:10.1007/978-3-642-30817-8_45

Cited by 4 publications

(2 citation statements)

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“…For manual assembly simulation, collision detection is very helpful, especially for virtual investigations. Feasibility studies for placing a power electronics unit in an engine compartment are a good example for the need of collision detection [4]. The collision detection prevents penetration of active parts and visualizes the detection with vectors, see Fig.…”

Section: Immersionmentioning

confidence: 99%

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Accuracy and Immersion Improvement of Hybrid Motion Capture based Real Time Virtual Validation

et al. 2014

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Using a digital human model for dynamic analysis is due to the high modelling complexity in digital environments not very prevalent. The movement of the worker is either unrealistic, or time-consuming to realize. Therefore, the need for research is a time saving possibility to explore virtual validation by a human model taking advantage of a nonetheless realistic movement design. To achieve this goal, we use an experimental setup including both a hybrid motion capture system and an interface for the connection to digital validation software. The motion capturing in connection along with the validation software allows real time modelling respectively tracking and therefore a realistic movement of the human model. To get good results while applying the motion capturing approach in mixed reality situations, it is necessary to have an exact registration between the real and virtual environment. Hence, the experimental setup must be designed for both. The key challenge here is to superimpose the CAD data with the real objects used for haptic feedback and better immersion. To realize an optimal registration we use a laser tracker solution.

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Section: Immersionmentioning

confidence: 99%

“…The level of realism is especially important for animations. [3] By connecting digital human models via motion capturing to a user, it is possible to control the avatar in real time [4].…”

Section: Introductionmentioning

confidence: 99%