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DARPA Grand Challenge (2007)

Known as: DARPA Grand Challenge 2007, DARPA Urban Challenge, Darpa Grand Urban Challenge 
The third driverless car competition of the DARPA Grand Challenge, was commonly known as the DARPA Urban Challenge. It took place on November 3, 2007… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Memory corruption vulnerabilities are an everpresent risk in software, which attackers can exploit to obtain unauthorized access… Expand
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Highly Cited
2012
Highly Cited
2012
We present a methodology for automatic synthesis of embedded control software that incorporates a class of linear temporal logic… Expand
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2010
2010
DISCLAIMER: The information contained in this paper does not represent the official policies, either expressed or implied, of the… Expand
Highly Cited
2010
Highly Cited
2010
We describe a practical path-planning algorithm for an autonomous vehicle operating in an unknown semi-structured (or… Expand
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Highly Cited
2010
Highly Cited
2010
  • Wende Zhang
  • IEEE Intelligent Vehicles Symposium
  • 2010
  • Corpus ID: 7525712
In this paper, a LIDAR-based road and road-edge detection method is proposed to identify road regions and road-edges, which is an… Expand
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Highly Cited
2009
Highly Cited
2009
This volume, edited by Martin Buehler, Karl Iagnemma and Sanjiv Singh, presents a unique and comprehensive collection of the… Expand
Highly Cited
2009
Highly Cited
2009
In this paper we describe a LIDAR-based navigation approach applied at both the C-Elrob (European Land Robot Trial) 2007 and the… Expand
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Highly Cited
2009
Highly Cited
2009
This paper describes a real-time motion planning algorithm, based on the rapidly-exploring random tree (RRT) approach, applicable… Expand
Highly Cited
2009
Highly Cited
2009
This article presents the architecture of Junior, a robotic vehicle capable of navigating urban environments autonomously. In… Expand
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Highly Cited
2008
Highly Cited
2008
This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach… Expand
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