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A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles

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dc.contributor.authorRasekhipour, Yadollah
dc.contributor.authorKhajepour, Amir
dc.contributor.authorChen, Shih-Ken
dc.contributor.authorLitkouhi, Baktiar
dc.date.accessioned2017-05-12T18:46:26Z
dc.date.available2017-05-12T18:46:26Z
dc.date.issued2016-09-26
dc.description© IEEE 2017. Rasekhipour, Y., Khajepour, A., Chen, S.-K., & Litkouhi, B. (2016). A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles. IEEE Transactions on Intelligent Transportation Systems, 18(5), 1255–1267. https://doi.org/10.1109/TITS.2016.2604240en
dc.description.abstractArtificial potential fields and optimal controllers are two common methods for path planning of autonomous vehicles. An artificial potential field method is capable of assigning different potential functions to different types of obstacles and road structures and plans the path based on these potential functions. It does not, however, include the vehicle dynamics in the path-planning process. On the other hand, an optimal path-planning controller integrated with vehicle dynamics plans an optimal feasible path that guarantees vehicle stability in following the path. In this method, the obstacles and road boundaries are usually included in the optimal control problem as constraints and not with any arbitrary function. A model predictive path-planning controller is introduced in this paper such that its objective includes potential functions along with the vehicle dynamics terms. Therefore, the path-planning system is capable of treating different obstacles and road structures distinctly while planning the optimal path utilizing vehicle dynamics. The path-planning controller is modeled and simulated on a CarSim vehicle model for some complicated test scenarios. The results show that, with this path-planning controller, the vehicle avoids the obstacles and observes road regulations with appropriate vehicle dynamics. Moreover, since the obstacles and road regulations can be defined with different functions, the path-planning system plans paths corresponding to their importance and priorities.en
dc.identifier.urihttps://doi.org/10.1109/TITS.2016.2604240
dc.identifier.urihttp://hdl.handle.net/10012/11885
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectVehiclesen
dc.subjectPath Planningen
dc.subjectRoadsen
dc.subjectVehicle Dynamicsen
dc.subjectPredictive Modelsen
dc.subjectOptimal Controlen
dc.subjectCollision Avoidanceen
dc.titleA Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehiclesen
dc.typeArticleen
dcterms.bibliographicCitationRasekhipour, Y., Khajepour, A., Chen, S.-K., & Litkouhi, B. (2017). A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles. IEEE Transactions on Intelligent Transportation Systems, 18(5), 1255–1267. https://doi.org/10.1109/TITS.2016.2604240en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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