Safe and Reliable Path Planning for the Autonomous Vehicle Verdino
This paper introduces a local planner which computes a set of commands, allowing an autonomous vehicle to follow a given trajectory. To do so, the platform relies on a localization system, a map and a cost map which represents the obstacles in the environment. The presented method computes a set of tentative trajectories, using a schema based on a Frenet frame obtained from the global planner. These trajectories are then scored using a linear combination of weighted cost functions. In the presented approach, new weights are introduced in order to satisfy the specificities of the authors' autonomous platform, Verdino. A study on the influence of the defined weights in the final behavior of the vehicle is introduced. From these tests, several configurations have been chosen and ranked according to two different proposed behaviors. The method has been tested both in simulation and in real conditions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Authors:
- Arnay, Rafael
- Morales, Nestor
- Morell, Antonio
- Hernandez-Aceituno, Javier
- Perea, Daniel
- Toledo, Jonay T
- Hamilton, Alberto
- Sanchez-Medina, Javier J
- Acosta, Leopoldo
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 22-32
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Serial:
- IEEE Intelligent Transportation Systems Magazine
- Volume: 8
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1939-1390
- EISSN: 1941-1197
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645
Subject/Index Terms
- TRT Terms: Field tests; Intelligent vehicles; Prototypes; Simulation; Trajectory control
- Identifier Terms: Verdino project
- Uncontrolled Terms: Localization
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01599590
- Record Type: Publication
- Files: TRIS
- Created Date: May 20 2016 3:54PM