Real-Time Obstacle Avoidance for Posture Prediction University of Iowa

Format:

Conference/Event

Author/Creator:

Johnson, Ross, author.

Conference Name:

Digital Human Modeling for Design and Engineering Conference and Exhibition (2009-06-09 : Gothenburg, Sweden)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2009-01-2305

Access Restriction:

Restricted for use by site license