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Cited by 186

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Motion planning in urban environments

Ferguson, Dave, Howard, Thomas M., Likhachev, Maxim·2008·Journal of Field Robotics

Abstract

We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, including ultrareliability, high‐speed operation, complex intervehicle interaction, parking in large unstructured lots, and constrained maneuvers. Our approach combines a model‐predictive trajectory generation algorithm for computing dynamically feasible actions with two higher level planners for generating long‐range plans in both on‐road and unstructured areas of the environment. In the first part of this article, we describe the underlying trajectory generator and the on‐road planning component of this system. We then describe the unstructured planning component of this system used for navigating through parking lots and recovering from anomalous on‐road scenarios. Throughout, we provide examples and results from “Boss” an autonomous sport utility vehicle that has driven itself over 3,000 km and competed in, and won, the DARPA Urban Challenge. © 2008 Wiley Periodicals, Inc.

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Crossref · 10.1002/rob.20265

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Metadata

Authors
Ferguson, D., Howard, T. M., & Likhachev, M.
Venue
Journal of Field Robotics
Publisher
Wiley
Published
2008-11
Volume
25
Issue
11-12
Pages
939-960
ISSN
  • 1556-4959 (ISSN-L)
  • 1556-4967
OpenAlex
W3083764925
Cited by
186
References
2
FWCI
3.82
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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