Difference between revisions of "Publications:Path Planning, Replanning, and Execution for Autonomous Driving in Urban and Offroad Environments"

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{{PublicationSetupTemplate|Author=Roland Philippsen, Sascha Kolski, Kristijan Macek, Roland Siegwart
 
{{PublicationSetupTemplate|Author=Roland Philippsen, Sascha Kolski, Kristijan Macek, Roland Siegwart
 
|PID=576992
 
|PID=576992
|Name=Philippsen, Roland [rolphi] [0000-0003-3513-8854] (Swiss Federal Institute of Technology Zürich, Switzerland);Kolski, Sascha (Swiss Federal Institute of Technology Zürich, Switzerland);Macek, Kristijan (Swiss Federal Institute of Technology Zürich, Switzerland);Siegwart, Roland (Swiss Federal Institute of Technology Zürich, Switzerland)
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|Name=Philippsen, Roland (rolphi) (0000-0003-3513-8854) (Swiss Federal Institute of Technology Zürich, Switzerland);Kolski, Sascha (Swiss Federal Institute of Technology Zürich, Switzerland);Macek, Kristijan (Swiss Federal Institute of Technology Zürich, Switzerland);Siegwart, Roland (Swiss Federal Institute of Technology Zürich, Switzerland)
 
|Title=Path Planning, Replanning, and Execution for Autonomous Driving in Urban and Offroad Environments
 
|Title=Path Planning, Replanning, and Execution for Autonomous Driving in Urban and Offroad Environments
 
|PublicationType=Conference Paper
 
|PublicationType=Conference Paper

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Title Path Planning, Replanning, and Execution for Autonomous Driving in Urban and Offroad Environments
Author
Year 2007
PublicationType Conference Paper
Journal
HostPublication Workshop on Planning, Perception and Navigation for Intelligent Vehicles
Conference 2007 IEEE International Conference on Robotics and Automation, ICRA 2007, 10-14 April 2007, Roma, Italy
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:576992
Abstract

We present an autonomous driving system that iscapable of planning, replanning, and executing paths for drivingin urban and offroad environments. For planning, we rely onthe E algorithm which computes a smooth navigation functionthat takes into account traversibility information extracted fromlaser scans. The path execution algorithm is centered arounda kinodynamic controller which follows the gradient of thenavigation function. This work is based on prior experience withthe SmartTer vehicle, which we are in the process of updating,and the focus is on integration.