Path and speed planning for smooth autonomous navigation

Abstract : This paper presents a path and speed planner for automated vehicles in unstructured environments. A global path planner has been designed with bounded continuous curvature and bounded curvature derivative to ensure smooth driving. This will allow the vehicle to know a priori which is the shortest path within a selected area that guarantees lateral accelerations and steering wheel speeds below given pre-set thresholds. A closed-form speed profiler uses semantic information provided by the path planner to set a continuous velocity reference that takes into account bounds on lateral and longitudinal accelerations consistent with comfort. The suitability of the above two features was compared to manual driving in a real instrumented vehicle on a test track.
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Submitted on : Monday, October 1, 2012 - 1:42:54 PM
Last modification on : Wednesday, August 7, 2019 - 12:19:23 PM
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  • HAL Id : hal-00732930, version 1

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Jorge Villagra, Vicente Milanés, Joshué Pérez Rastelli, Jorge Godoy, Enrique Onieva. Path and speed planning for smooth autonomous navigation. IV 2012 - IEEE Intelligent Vehicles Symposium, Jun 2012, Alcala de Henares, Madrid, Spain. ⟨hal-00732930⟩

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