72 search results - page 11 / 15 » Process scheduling under uncertainty: Review and challenges |
DATE
2002
IEEE
14 years 10 days ago
2002
IEEE
Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. ...
ICRA
2009
IEEE
13 years 5 months ago
2009
IEEE
For vehicles navigating initially unknown cluttered environments, current state-of-the-art planning algorithms are able to plan and re-plan dynamically-feasible paths efficiently a...
AAAI
2012
11 years 9 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
CGF
2010
13 years 7 months ago
2010
With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remain...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than ...