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Automatic reverse turn of agricultural vehicles: a predictive approach

Abstract : This paper addresses the automation of farm vehicle manoeuvres in headlands. A trajectory generation strategy is presented to plan reverse turns. Then, both steering and speed control algorithms are presented to guide the vehicle on the planned path, based on its kinematic model extended with additional sliding parameters and on predictive approaches. Real world experiments have been carried out on a low adherent terrain with an experimental mobile robot. At the end of each row, the sequences of the reverse turn are automatically generated to connect the next track to be followed, and the manoeuvre is autonomously performed by the vehicle. Reported experimental results demonstrate the capabilities of the proposed algorithms in full scale conditions.
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Contributor : Philippe Martinet Connect in order to contact the contributor
Submitted on : Thursday, February 6, 2020 - 4:40:09 AM
Last modification on : Thursday, March 3, 2022 - 8:08:03 PM
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  • HAL Id : hal-02468610, version 1



Christophe Cariou, Roland Lenain, Benoit Thuilot, Philippe Martinet. Automatic reverse turn of agricultural vehicles: a predictive approach. ICRA09 - IEEE RAS Workshop on Agricultural Robotics, May 2009, Kobe, Japan. ⟨hal-02468610⟩



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