| Autor: |
Zhao, Nanbin, Wang, Bohui, Xiong, Yiping, Su, Rong |
| Přispěvatelé: |
School of Electrical and Electronic Engineering, 2022 IEEE 17th International Conference on Control & Automation (ICCA) |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
2022 IEEE 17th International Conference on Control & Automation (ICCA). |
| Popis: |
With the map navigation system achieving the positioning accuracy at the lane level, the lane level navigation system began to be applied in digital navigation software. The new generation of navigation system allows human drivers to accurately identify road conditions without road experience. However, in actual use, drivers still need to complete lane-changing behavior independently. The navigation system does not provide relevant real-time traffic flow information and safety prediction. Therefore, this paper innovatively combines the free space detection and lane change prediction algorithm in actual driving, and puts forward this Safety Prompt Advanced Driver-Assistance System (SPADAS). It can predict the lane-change decision and lane-change trajectory around in a short period of time in the future according to the current state and historical trajectory of the surrounding vehicles, and combine these prediction information to provide the driver or the path planning module of the self-driving vehicle with the predicted free space in the near future. The free space provided by this Advanced Driver-Assistance System (ADAS) includes three types: continuing driving according to the current state or changing lanes to the left or right. At the same time, it also provides the required recommended driving trajectory. The evaluation test of this ADAS has been done through a simulation testbed of the NGSIM dataset built with Eclipse SUMO. Agency for Science, Technology and Research (A*STAR) Submitted/Accepted version This research is supported by A*STAR under its RIE2020 Advanced Manufacturing and Engineering (AME) Indus- try Alignment Fund - Pre-Positioning (IAF-PP) (Award A19D6a0053). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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