Rule-based tracking of multiple lanes using particle filters
| Autor: | Stefan Vacek, Stephan Bergmann, Ulrich Mohr, Rüdiger Dillmann |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Finite-state machine
ComputingMethodologies_SIMULATIONANDMODELING BitTorrent tracker business.industry Computer science Track (disk drive) ComputerApplications_COMPUTERSINOTHERSYSTEMS Rule-based system ComputerSystemsOrganization_PROCESSORARCHITECTURES Tracking (particle physics) Remotely operated underwater vehicle Set (abstract data type) ComputingMethodologies_PATTERNRECOGNITION InformationSystems_MODELSANDPRINCIPLES Computer vision Artificial intelligence Particle filter business Simulation |
| Zdroj: | MFI |
| DOI: | 10.1109/mfi.2006.265649 |
| Popis: | Tracking of lanes is essential for intelligent vehicles in order to drive autonomously. A system is presented which allows tracking of multiple lanes. The system is based on a clear modelling of a lane and the parameter set of each lane is estimated using a particle filter which fuses different cues. A finite-state machine then decides whether or not a lane is really tracked. For each lane, a separate tracker is used and a set of rules controls the life-cycle of all trackers and keeps track of all the estimated lanes. |
| Databáze: | OpenAIRE |
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