Autonomous parking using a sensor based approach

Abstract : This paper considers the perpendicular parking problem of car-like vehicles for both forward and reverse maneuvers. A sensor based controller with a weighted control scheme is proposed and is compared with a state of the art path planning approach. The perception problem is threated as well considering a Velodyne VLP-16 as the sensor providing the required exteroceptive information. A methodology to extract the necessary information for both approaches from the sensor data is presented. A fast prototyping environment has been used to develop the parking application, and also used as simulator in order to validate the approach. Preliminary results from simulation and real experimentation show the effectiveness of the proposed approach.
Type de document :
Communication dans un congrès
International Conference on Intelligent Transportation Systems, Nov 2016, Rio de Janeiro, Brazil. 2016
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https://hal.inria.fr/hal-01396998
Contributeur : Olivier Kermorgant <>
Soumis le : mardi 15 novembre 2016 - 12:04:46
Dernière modification le : mercredi 16 mai 2018 - 11:48:04
Document(s) archivé(s) le : jeudi 16 mars 2017 - 17:14:56

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2016_PPNIV_Perez.pdf
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  • HAL Id : hal-01396998, version 1

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David Pérez-Morales, Salvador Domínguez-Quijada, Olivier Kermorgant, Philippe Martinet. Autonomous parking using a sensor based approach. International Conference on Intelligent Transportation Systems, Nov 2016, Rio de Janeiro, Brazil. 2016. 〈hal-01396998〉

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