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An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments
This paper proposes an optimized trajectory planner and motion planner framework, which aim to deal with obstacle avoidance along a reference road for autonomous driving in unstructured environments. The trajectory planning problem is decomposed into lateral and longitudinal planning sub-tasks along...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8271740/ https://ncbi.nlm.nih.gov/pubmed/34199118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21134409 |
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