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- W4313854554 abstract "Autonomous driving is expected to substitute human drivers and decrease the number of traffic accidents. Among various techniques for autonomous driving, ACC (adaptive cruise control) is one of the commercialized ADAS (advanced driver-assistance systems) and widely used. However, some of drivers conduct a risky lane-changing in the real world. In this case, a conventional ACC system conducts an excessive deceleration for avoiding a crash with the cut-in vehicle, and it can conversely cause a crash with the following vehicle. To solve this problem, our research group has developed an advanced ACC system to detect a cut-in vehicle and adjust the speed of host vehicle in advance before the cut-in vehicle crosses the centerline. In our previous work, evaluation of the proposed system was insufficient since the evaluation was conducted based on the simulation. To strictly validate the proposed system, we conducted experiments using a DS (driving simulator) and evaluated the effectiveness of the proposed system with respect to various lane-changing patterns performed by the experimental participants. Through the experiments, it was confirmed that the proposed system achieved better driving safety compared to the conventional ACC system." @default.
- W4313854554 created "2023-01-10" @default.
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- W4313854554 date "2022-11-27" @default.
- W4313854554 modified "2023-10-03" @default.
- W4313854554 title "Evaluation of Advanced Adaptive Cruise Control Based on Lane-Change Detection" @default.
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- W4313854554 doi "https://doi.org/10.23919/iccas55662.2022.10003876" @default.
- W4313854554 hasPublicationYear "2022" @default.
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