Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Navigation guided by artificial force fields
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Introduction to AI Robotics
Robot Motion Planning
CubicalPath - Dynamic Potential Fields for Guided Exploration in Virtual Environments
PG '00 Proceedings of the 8th Pacific Conference on Computer Graphics and Applications
An intelligent 3D user interface adapting to user control behaviors
Proceedings of the 9th international conference on Intelligent user interfaces
Potential field based camera collisions detection in a static 3D environment
Machine Graphics & Vision International Journal
GPU calculated camera collisions detection within a dynamic environment
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
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Existing collision detection methods usually need long precalculation stage or difficult, time-consuming real-time computation. Moreover its effectiveness considerably decreases while the complexity of the scene or objects increases. Especially dynamic scenes with moving objects invoke necessity of each frame collisions recalculation due to changeable objects position. So far seemingly promising solutions supported by potential fields do not introduce satisfactory functionality as they are mainly devoted to static scenes with one predefined aim. This paper introduces method providing a new potential field construction which lets the camera reach both static and translating objects without constraints and protects user from getting into their structure while approaching volatile goals. Additionally proposed method comprises easy to bring through pre- calculation stage and becomes a scene-complexity independent solution.