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Drivers’ Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving
This paper describes a real-time motion planner based on the drivers’ visual behavior-guided rapidly exploring random tree (RRT) approach, which is applicable to on-road driving of autonomous vehicles. The primary novelty is in the use of the guidance of drivers’ visual search behavior in the framew...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4732135/ https://ncbi.nlm.nih.gov/pubmed/26784203 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16010102 |
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