An approach for automated driving in highway scenarios in the context of a two levels hierarchical architecture is proposed. In particular, we define suitable artificial potential functions (APF) combinations that can effectively handle the most relevant maneuvers of highway driving, such as speed and distance tracking, lane keeping, overtaking and returning. Parameters of the APF functions are dynamically tuned according to the acquired scenario. The defined APF are included in the cost function of a Model Predictive Control (MPC) control problem to generate the path trajectory. A behavioral logic described by a finite state machine (FSM), based on sensor acquired data and suitable dynamic conditions is defined to select the most appropriate maneuver to realize. Extensive simulation tests are introduced to show the effectiveness of the proposed approach.

Autonomous Driving in Highway Scenarios through Artificial Potential Fields and Model Predictive Control / Canale, M; Belvedere, Ae; Razza, V. - ELETTRONICO. - (2022), pp. 8-13. (Intervento presentato al convegno 2022 European Control Conference, ECC 2022 tenutosi a London (UK) nel 12-15 July 2022) [10.23919/ECC55457.2022.9838187].

Autonomous Driving in Highway Scenarios through Artificial Potential Fields and Model Predictive Control

Canale, M;Belvedere, AE;Razza, V
2022

Abstract

An approach for automated driving in highway scenarios in the context of a two levels hierarchical architecture is proposed. In particular, we define suitable artificial potential functions (APF) combinations that can effectively handle the most relevant maneuvers of highway driving, such as speed and distance tracking, lane keeping, overtaking and returning. Parameters of the APF functions are dynamically tuned according to the acquired scenario. The defined APF are included in the cost function of a Model Predictive Control (MPC) control problem to generate the path trajectory. A behavioral logic described by a finite state machine (FSM), based on sensor acquired data and suitable dynamic conditions is defined to select the most appropriate maneuver to realize. Extensive simulation tests are introduced to show the effectiveness of the proposed approach.
2022
978-3-9071-4407-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2973481