Generating octree models of 3D objects from their silhouettes in a sequence of images
Computer Vision, Graphics, and Image Processing
Navigation and mapping in large-scale space
AI Magazine
Active, optical range imaging sensors
Machine Vision and Applications
Memory and Processing Architecture for 3D Voxel-Based Imagery
IEEE Computer Graphics and Applications
Abstraction morphisms for world modelling in high autonomy systems
WSC '91 Proceedings of the 23rd conference on Winter simulation
A Rule-Based Interactive Behavioral Animation System for Humanoids
IEEE Transactions on Visualization and Computer Graphics
The Animation of Autonomous Actors Based on Production Rules
CA '96 Proceedings of the Computer Animation
Acoustic imaging: the reconstruction of underwater objects
VIS '91 Proceedings of the 2nd conference on Visualization '91
Drawing stereo disparity images into occupancy grids: measurement model and fast implementation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Towards autonomous, perceptive, and intelligent virtual actors
Artificial intelligence today
| Hi-index | 4.10 |
The environment model's volumetric level, where information about free and occupied space is represented explicitly, is considered. At this model level, updating operations use raw sensory data from range sensors or processed data from any stereo or other depth recovery technique. In addition, this type of model can be used directly by path planning and navigation modules as well as for object recognition and manipulation modules. A system that uses the sensor-built model mode, in which there is initially little or no knowledge available about the domain and a model is incrementally constructed using the information provided by a sensor, is demonstrated. This mode of operation makes it possible to deal with unknown or dynamic environments.