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- W3186647968 abstract "The situation in which an automated vehicle moving on a congested highway has to change the lane to avoid an obstacle can be difficult to accomplish without the cooperation between vehicles. Moreover, a reliable control equipment capable of deriving and executing the safest action for the vehicle is essential. For this reason, in this paper, a control architecture with two levels for an automated vehicle is proposed. Level 1, with a decision function, uses data from both local sensors and received via vehicle-to-vehicle (V2V) communication to decide the future actions for the vehicle. These are then executed at the next level of the control architecture, i.e., Level 2, with an action function, and features such as trajectory planner, trajectory follower, cruise control (CC)/adaptive cruise control (ACC). This paper proposes an analytical solution for the polynomials calculus used by the trajectory planner to compute the vehicle's path. The control objective is twofold, namely: i) to safely merge within an existing platoon, and ii) to avoid a fixed obstacle. The simulation results show that our proposed method successfully ensured the merging of a vehicle in a platoon, in order to avoid an obstacle collision." @default.
- W3186647968 created "2021-08-02" @default.
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- W3186647968 date "2021-06-22" @default.
- W3186647968 modified "2023-10-03" @default.
- W3186647968 title "Trajectory Planner based on Third-order Polynomials applied for Platoon Merging and Splitting" @default.
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- W3186647968 doi "https://doi.org/10.1109/med51440.2021.9480261" @default.
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