scispace - formally typeset
Search or ask a question
Institution

Volkswagen Group of America

CompanyHerndon, Virginia, United States
About: Volkswagen Group of America is a company organization based out in Herndon, Virginia, United States. It is known for research contribution in the topics: Computer science & Vehicle dynamics. The organization has 128 authors who have published 100 publications receiving 5575 citations. The organization is also known as: Volkswagen USA.


Papers
More filters
Journal ArticleDOI
TL;DR: The robot Stanley, which won the 2005 DARPA Grand Challenge, was developed for high‐speed desert driving without manual intervention and relied predominately on state‐of‐the‐art artificial intelligence technologies, such as machine learning and probabilistic reasoning.
Abstract: This article describes the robot Stanley, which won the 2005 DARPA Grand Challenge. Stanley was developed for high-speed desert driving without human intervention. The robot’s software system relied predominately on state-of-the-art AI technologies, such as machine learning and probabilistic reasoning. This article describes the major components of this architecture, and discusses the results of the Grand Challenge race.

2,011 citations

Proceedings ArticleDOI
05 Jun 2011
TL;DR: In order to achieve autonomous operation of a vehicle in urban situations with unpredictable traffic, several realtime systems must interoperate, including environment perception, localization, planning, and control.
Abstract: In order to achieve autonomous operation of a vehicle in urban situations with unpredictable traffic, several realtime systems must interoperate, including environment perception, localization, planning, and control. In addition, a robust vehicle platform with appropriate sensors, computational hardware, networking, and software infrastructure is essential.

1,199 citations

Journal IssueDOI
TL;DR: The architecture of Junior, a robotic vehicle capable of navigating urban environments autonomously, is presented, which successfully finished and won second place in the DARPA Urban Challenge, a robot competition organized by the U.S. Government.
Abstract: This article presents the architecture of Junior, a robotic vehicle capable of navigating urban environments autonomously. In doing so, the vehicle is able to select its own routes, perceive and interact with other traffic, and execute various urban driving skills including lane changes, U-turns, parking, and merging into moving traffic. The vehicle successfully finished and won second place in the DARPA Urban Challenge, a robot competition organized by the U.S. Government. © 2008 Wiley Periodicals, Inc.

832 citations

Journal IssueDOI
TL;DR: The robot Stanley, which won the 2005 DARPA Grand Challenge, was developed for high-speed desert driving without manual intervention using state-of-the-art artificial intelligence technologies, such as machine learning and probabilistic reasoning.
Abstract: This article describes the robot Stanley, which won the 2005 DARPA Grand Challenge. Stanley was developed for high-speed desert driving without manual intervention. The robot's software system relied predominately on state-of-the-art artificial intelligence technologies, such as machine learning and probabilistic reasoning. This paper describes the major components of this architecture, and discusses the results of the Grand Challenge race. © 2006 Wiley Periodicals, Inc.

306 citations

Patent
27 Sep 2004
TL;DR: In this article, a system and method to interactively converse with a cognitively overloaded user of a device, including maintaining a knowledge base of information regarding the device and a domain, organizing the information in at least one of a relational manner and an ontological manner, receiving speech from the user, converting the speech into a word sequence, recognizing a partial proper name in the word sequence and identifying meaning structures using a model of the domain information, adjusting a boundary of the partial proper names to enhance an accuracy of the meaning structures.
Abstract: A system and method to interactively converse with a cognitively overloaded user of a device, includes maintaining a knowledge base of information regarding the device and a domain, organizing the information in at least one of a relational manner and an ontological manner, receiving speech from the user, converting the speech into a word sequence, recognizing a partial proper name in the word sequence, identifying meaning structures from the word sequence using a model of the domain information, adjusting a boundary of the partial proper names to enhance an accuracy of the meaning structures, interpreting the meaning structures in a context of the conversation with the cognitively overloaded user using the knowledge base, selecting a content for a response to the cognitively overloaded user, generating the response based on the selected content, the context of the conversation, and grammatical rules, and synthesizing speech wave forms for the response.

295 citations


Authors

Showing all 135 results

Network Information
Related Institutions (5)
Immersion Corporation
888 papers, 44K citations

76% related

Federal-Mogul
2.9K papers, 22.2K citations

74% related

Hamburg University of Technology
7.2K papers, 159.8K citations

74% related

Center for Automotive Research
869 papers, 22.6K citations

73% related

Kajima
815 papers, 17K citations

73% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202214
20218
202014
20196
20186