Further Steps towards Driver Modeling According to the Bayesian Programming Approach
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
Bayesian real-time perception algorithms on GPU
Journal of Real-Time Image Processing
Extracting data from human manipulation of objects towards improving autonomous robotic grasping
Robotics and Autonomous Systems
A hierarchical Bayesian framework for multimodal active perception
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
| Hi-index | 0.00 |
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.