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Journal ArticleDOI

Vision and navigation for the Carnegie-Mellon Navlab

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TLDR
A distributed architecture articulated around the CODGER (communication database with geometric reasoning) knowledge database is described for a mobile robot system that includes both perception and navigation tools.
Abstract
A distributed architecture articulated around the CODGER (communication database with geometric reasoning) knowledge database is described for a mobile robot system that includes both perception and navigation tools. Results are described for vision and navigation tests using a mobile testbed that integrates perception and navigation capabilities that are based on two types of vision algorithms: color vision for road following, and 3-D vision for obstacle detection and avoidance. The perception modules are integrated into a system that allows the vehicle to drive continuously in an actual outdoor environment. The resulting system is able to navigate continuously on roads while avoiding obstacles. >

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Citations
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Proceedings ArticleDOI

Autonomous navigation in outdoor environment: adaptive approach and experiment

TL;DR: The main perception, motion planning and decisional processes required by the robot during navigation are briefly presented, and an on board control architecture that manages all these processes is described.
Journal ArticleDOI

An algorithm for distinguishing the types of objects on the road using laser radar and vision

TL;DR: The proposed algorithm for distinguishing the types of forward objects detected on and alongside the road using a vehicle-mounted scanning laser radar (SLR) and a camera has been validated in an experiment conducted with a simulator.
Proceedings ArticleDOI

Highway Traffic Modeling and Decision Making for Autonomous Vehicle Using Reinforcement Learning

TL;DR: This paper model the interaction between an autonomous vehicle and the environment as a stochastic Markov decision process (MDP) and consider the driving style of an experienced driver as the target to be learned.
Journal ArticleDOI

FhG-Co-driver: From map-guided automatic driving by machine vision to a cooperative driver support

TL;DR: This equipment provides an experimental platform for studying driver-vehicle interactions with the option to automatically evaluate actual traffic situations around the vehicle in real-time and offers an approach to record and disentangle the multitude of factors which influence the often subconscious-reactions of a driver.
Proceedings ArticleDOI

Image sequence evaluation: 30 years and still going strong

TL;DR: Fundamental experimental and theoretical advances are emphasized rather than details of particular approaches, thereby enabling stepwise improvements of theoretical approaches underlying the construction of system solutions.
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.
Book

A robust layered control system for a mobile robot

TL;DR: A new architecture for controlling mobile robots is described, building a robust and flexible robot control system that has been used to control a mobile robot wandering around unconstrained laboratory areas and computer machine rooms.
Journal ArticleDOI

A robust layered control system for a mobile robot

TL;DR: In this paper, a new architecture for controlling mobile robots is described, which is made up of asynchronous modules that communicate over low-bandwidth channels, each module is an instance of a fairly simple computational machine.
Journal ArticleDOI

A visual navigation system for autonomous land vehicles

TL;DR: A modular system architecture has been developed to support visual navigation by an autonomous land vehicle that consists of vision modules performing image processing, three-dimensional shape recovery, and geometric reasoning, as well as modules for planning, navigating, and piloting.
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