Benchmarking Particle Filter Algorithms for Efficient Velodyne-Based Vehicle Localization
Keeping a vehicle well-localized within a prebuilt-map is at the core of any autonomous vehicle navigation system. In this work, we show that both standard SIR sampling and rejection-based optimal sampling are suitable for efficient (10 to 20 ms) real-time pose tracking without feature detection tha...
| Huvudupphovsmän: | , , , , |
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| Materialtyp: | info:eu-repo/semantics/article |
| Språk: | English |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | http://hdl.handle.net/10835/7556 |