| Autor: |
Kyounghwan An, Samyeul Noh, Wooyong Han |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
2015 15th International Conference on Control, Automation and Systems (ICCAS). |
| DOI: |
10.1109/iccas.2015.7364699 |
| Popis: |
This paper presents a cooperative system by vehicle-to-infrastructure (V2I) communications that extends the range of environmental perception and improves the performance of situation awareness for highly automated driving. The paper consists of two steps: data fusion based situation awareness and distributed reasoning based situation assessment. The data fusion produces a V2I augmented map to provide a better understanding of driving situations by integrating road infrastructures with a high-precision map. The distributed reasoning evaluates a risky level of a current situation in terms of road infrastructures through the use of independent local experts which are distributed into lane-level local regions of the vehicle's surroundings. The recommendations for driving behaviors are determined by the combination of results from each expert. The system is tested and evaluated through in-vehicle tests on a highway test road to verify that it can determine appropriate reactions under road hazard situations, such as black ice and construction. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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