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Open AccessJournal ArticleDOI

Stanley: The Robot that Won the DARPA Grand Challenge

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.

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Journal ArticleDOI

CF-Pursuit: A Pursuit Method with a Clothoid Fitting and a Fuzzy Controller for Autonomous Vehicles

TL;DR: In CF-Pursuit, in order to reduce fitting errors, a clothoid C1 curve is used to replace the circle employed in Pure-P Pursuit but with certain differences, which helps the Pursuit method to decrease tracking errors.
Proceedings ArticleDOI

Online decision-making for scalable autonomous systems

TL;DR: A general formal model called MODIA that can tackle a central challenge for autonomous vehicles (AVs), namely the ability to interact with an unspecified, large number of world entities, is presented and the lexicographic executor action function (LEAF) mechanism is proposed.
Journal Article

Research Progress on Robotics

TL;DR: Some important progresses in industrial robots, mobile robots, medical and rehabilitation robots and biomimetic robots are introduced in brief, and some important issues of robot technology are summarized by means of analysis and classification.
Patent

Vessel Performance Optimization Reporting Tool

TL;DR: In this article, different advantageous embodiments provide an apparatus comprising a sensor system, a computer system, and a satellite transceiver, where the sensor system is configured to generate data about a vessel and an environment around the vessel.
Journal IssueDOI

An autonomous rice transplanter guided by global positioning system and inertial measurement unit

TL;DR: In this article, the development of an automated rice transplanter guided by a global positioning system and an inertia measurement unit using the controller area network bus has been reported, and the actuator control command and data communication protocols comply with ISO 11783.
References
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Book

Pattern classification and scene analysis

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

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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