Cooperation-Based Risk Assessment Prediction for Rear-End Collision Avoidance in Autonomous Lane Change Maneuvers

نویسندگان

چکیده

In this study, we present an innovative approach to risk assessment for rear-end collision avoidance using a cooperation concept autonomous lane change system. A Kalman filter is designed estimate the longitudinal acceleration and predict relative position, velocity, acceleration. Risk performed predicted motion of object vehicle in target lane. The proposed improve flexibility change. If indicates risk, cooperativeness driver determined. regarded as cooperative driver, within original lane, ego moves toward preparation Subsequently, soon that there no performed. Thus, unlike conventional methods, can be initiated. Furthermore, more flexible compared with previous methods cluttered traffic.

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ژورنال

عنوان ژورنال: Actuators

سال: 2022

ISSN: ['2076-0825']

DOI: https://doi.org/10.3390/act11040098