Conference proceeding
Real-Time Obstacle Avoidance for Posture Prediction
SAE Technical Paper Series
Digital Human Modeling for Design and Engineering Conference and Exhibition
06/09/2009
DOI: 10.4271/2009-01-2305
Abstract
Collision avoidance in digital human modeling is critical for design and analysis, especially when there is interaction between the avatar and his/her environment. This paper describes a new algorithm for obstacle avoidance with optimization-based posture prediction. This new approach is motivated by a need for decreased computational time and increased fidelity for modeling and analysis of collision avoidance tasks. Posture prediction is run in an iterative loop while conducting collision detection to dynamically update collision avoidance constraints. It is shown that this approach is substantially faster than the basic method involving a fixed number of sphere-based avoidance constraints with a single optimization/posture-prediction run. The method is demonstrated using an upper-body virtual human model in a cab setting.
Details
- Title: Subtitle
- Real-Time Obstacle Avoidance for Posture Prediction
- Creators
- Ross Johnson - University of IowaBrian Lewis Smith - University of IowaRajeev Penmatsa - University of IowaTim MarlerKarim Abdel-Malek
- Resource Type
- Conference proceeding
- Conference
- Digital Human Modeling for Design and Engineering Conference and Exhibition
- Series
- SAE Technical Paper Series
- DOI
- 10.4271/2009-01-2305
- ISSN
- 0148-7191
- eISSN
- 2688-3627
- Language
- English
- Date published
- 06/09/2009
- Academic Unit
- Mechanical Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984195066102771
Metrics
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