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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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A system for indoor 3-D mapping and virtual environments

TL;DR: This paper presents a mobile mapping system that is designed to generate a geometrically precise three-dimensional model of an unknown indoor environment and the system, the data collection and processing procedure, test results, the modeling and display at the virtual environment facility are described.
Proceedings Article

Robot Beings

TL;DR: This work reports on a robot, Seymour, which is designed to interact with people while operating in a crowded office environment, and has adopted an evolutionary method of building complex autonomous agents, where the components are simple distributed computational elements.
Proceedings ArticleDOI

Toward human-like motion planning in urban environments

TL;DR: A path model is proposed that generates a reference path with smooth and peak-value-reduced curvature, and a parameterized speed model to be fitted by human driving data, and certain statistical human driving patterns are revealed.
Journal ArticleDOI

A Survey of Scene Understanding by Event Reasoning in Autonomous Driving

TL;DR: This paper attempts to investigate the interpretation of traffic scene in autonomous driving from an event reasoning view, and studies the most relevant literatures and the state-of-the-arts on scene representation, event detection and intention prediction in autonomousdriving.
Proceedings ArticleDOI

Ambient intelligence - a state of the art from artificial intelligence perspective

Carlos Ramos
TL;DR: This paper will define Ambient Intelligence; refer some of their prototype and systems; and analyze how the main Artificial Intelligence areas can be applied.
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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