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dc.contributor.authorMatous, Josef
dc.contributor.authorBasso, Erlend Andreas
dc.contributor.authorThyri, Emil Hjelseth
dc.contributor.authorPettersen, Kristin Ytterstad
dc.date.accessioned2022-01-28T07:49:29Z
dc.date.available2022-01-28T07:49:29Z
dc.date.created2021-09-10T15:26:02Z
dc.date.issued2021
dc.identifier.isbn978-1-6654-3643-4
dc.identifier.urihttps://hdl.handle.net/11250/2926642
dc.description.abstractTo enable autonomous vehicles to operate in cluttered and unpredictable environments with numerous obstacles, such vehicles need a collision avoidance system that can react to and handle sudden changes in the environment. In this paper, we propose an optimization-based reactive collision avoidance system that uses control barrier functions integrated into the control allocation. We demonstrate the effectiveness of our method through numerical simulations with autonomous surface vehicles. The simulated vehicles track their reference waypoints while maintaining safe distances. The proposed method can be readily implemented on vehicles that already use an optimization-based control allocation method.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2021 IEEE Conference on Control Technology and Applications (CCTA)
dc.titleUnifying Reactive Collision Avoidance and Control Allocation for Multi-Vehicle Systemsen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.identifier.doi10.1109/CCTA48906.2021.9658918
dc.identifier.cristin1933325
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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