The development of machine vision for road vehicles in the last decade

Dickmanns, Ernst D.

doi:10.1109/ivs.2002.1187962

Cited by 125 publications

(71 citation statements)

References 15 publications

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“…durch einen Eingriff des Sicherheitsfahrers in die Fahrzeugführung wiederhergestellt. Einen ausführlicheren Einblick in die Entwicklungen in den 1990er-Jahren gibt Dickmanns in [14] In der DARPA Urban Challenge wurden alle teilnehmenden autonomen Fahrzeuge ohne Fahrer an Bord auf einem abgesperrten Militärstützpunkt betrieben. Das Sicherheitskonzept wurde von der DARPA vorgegeben und beinhaltete eine Möglichkeit zum sofortigen Anhalten der Fahrzeuge über eine Fernsteuerung und über Not/Aus-Schalter außen an den Fahrzeugen [2].…”

Section: Sicherer Zustand In Fahrerassistenzsystemen Im Serieneinsatzunclassified

Sicherheitskonzept für autonome Fahrzeuge

Reschka

2015

Autonomes Fahren

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Section: Sicherer Zustand In Fahrerassistenzsystemen Im Serieneinsatzunclassified

Sicherheitskonzept für autonome Fahrzeuge

Reschka

2015

Autonomes Fahren

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“…Several Advanced Driver As sistance S ystems (ADAS), t hat no wadays are bei ng researched for Intelligent Vehicles, are based on Computer Vision [1]. One of them has the goal of detecting and tracking other vehicles.…”

Section: Motivationmentioning

confidence: 99%

Multi-resolution Image Analysis for Vehicle Detection

Hilario

Collado

Armingol

et al. 2005

Pattern Recognition and Image Analysis

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Abstract.Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presen ted. A ge ometric model of th e vehicle is defin ed where its energy function in cludes infor mation of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receiv es info rmation from a road detection modul e some geometric restrictions can be applied. A multi-resolution approach is used to speed up th e algorithm and w ork in re altime. Examples of re al im ages ar e shown to validate the algorithm.

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“…These include using visual servoing to manoeuvre small robots around buildings [24,25], visual control of cars or other motor vehicles [26][27][28][29] and visual control of aerial vehicles.…”

Section: Visual Servoingmentioning

confidence: 99%

Visual control of an unmanned aerial vehicle for power line inspection

Golightly

Jones

ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.

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The development of machine vision for road vehicles in the last decade

Cited by 125 publications

References 15 publications

Sicherheitskonzept für autonome Fahrzeuge

Sicherheitskonzept für autonome Fahrzeuge

Multi-resolution Image Analysis for Vehicle Detection

Visual control of an unmanned aerial vehicle for power line inspection

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