Stanley: The Robot that Won the DARPA Grand Challenge
Sebastian Thrun,Michael Montemerlo,Hendrik Dahlkamp,David Stavens,Andrei Aron,James Diebel,Philip Fong,John Gale,Morgan Halpenny,Gabriel M. Hoffmann,Kenny Lau,Celia M. Oakley,Mark Palatucci,Vaughan R. Pratt,Pascal Stang,Sven Strohband,Cedric Dupont,Lars-Erik Jendrossek,Christian Koelen,Charles Markey,Carlo Rummel,Joe van Niekerk,Eric Jensen,Philippe Alessandrini,Gary Bradski,Bob Davies,Scott M. Ettinger,Adrian Kaehler,Ara V. Nefian,Pamela Mahoney +29 more
TLDR
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.read more
Citations
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Proceedings ArticleDOI
Optoelectronic 3D laser scanning technical vision system based on dynamic triangulation
TL;DR: Using a laser as emitter and a scanning aperture as sensor, a vision system capable of measuring the 3D coordinates of detected objects is developed, intended for autonomous robot navigation task.
Dissertation
Mapping of indoor environments by robots using low-cost vision sensors
TL;DR: This research investigated ways to use a single colour camera as a range sensor to guide an autonomous robot and allow it to build a map of its environment, a process referred to as Simultaneous Localization and Mapping (SLAM).
Journal ArticleDOI
Research on 3D Point Cloud De-Distortion Algorithm and Its Application on Euclidean Clustering
Long Wen,Lei He,Zhenhai Gao +2 more
TL;DR: A de-distortion algorithm is applied to diminish the influence of distortion caused by the moving and turning of lidar, and an adaptive threshold of the Euclidean distance is applied in the improved clustering algorithm so the improved algorithm is able to detect the relatively small objects in the distance while it can also detect the objects nearby without misjudgment.
Interactive Maneuver Prediction and Planning for Highly Automated Driving Functions
TL;DR: A novel interactive maneuver prediction and planning for highly automated driving functions for highways is presented and a novel framework for impact assessment based on microscopic traffic simulation is developed.
References
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Journal ArticleDOI
Pattern Classification and Scene Analysis.
Book
Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Proceedings ArticleDOI
New extension of the Kalman filter to nonlinear systems
Simon Julier,Jeffrey Uhlmann +1 more
TL;DR: It is argued that the ease of implementation and more accurate estimation features of the new filter recommend its use over the EKF in virtually all applications.
Book
Fundamentals of Vehicle Dynamics
TL;DR: In this article, the authors attempt to find a middle ground by balancing engineering principles and equations of use to every automotive engineer with practical explanations of the mechanics involved, so that those without a formal engineering degree can still comprehend and use most of the principles discussed.
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