Monte Carlo Localization¶
Fox, D., Burgard, W., Dellaert, F., & Thrun, S. (1999). Monte Carlo Localization: Efficient Position Estimation for Mobile Robots. Proceedings of the AAAI Conference on Artificial Intelligence, 343-349.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Particle Filter
- Fox and colleagues reported an online localization algorithm whose sampling representation retained complex distributions while reducing computation and memory relative to the grid-based approaches they compared.
This sourceApplies a particle representation to online robot-pose estimation and reports adaptive sampling and empirical efficiency.
- Fox and colleagues reported an online localization algorithm whose sampling representation retained complex distributions while reducing computation and memory relative to the grid-based approaches they compared.
Verification¶
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Registry ID ref:a78d4ffa20e1 · see in the full table