Recognition and attribution of variable message signs and lanes

Nienhüser, Dennis; Gumpp, Thomas; Zöllner, J. Marius; Dillmann, Rüdiger

doi:10.1109/ivs.2008.4621288

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…In [9] we presented a probabilistic approach to decide whether a sign is mounted left, right or on top of a lane. Errors tend to occur in higher distances where signs appear small and lane markings are harder to detect.…”

Section: A Driving Situation Representationmentioning

confidence: 99%

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Relevance estimation of traffic elements using Markov logic networks

Nienhüser

Gumpp

Zöllner

2011

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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Complex traffic situations e.g. at intersections consist of many traffic participants, traffic elements and relations between them. The behavior of participants is constrained by implicit and explicit traffic rules. We are interested in estimating whether a given traffic element -a traffic sign, a traffic light -is relevant in the current driving situation, i.e. affects the set of possible legal actions. A wide variety of properties influences the relevance. The route to take for example affects which traffic lights are relevant and the current weather situation affects whether a speed limit restricted by a supplementary sign is in effect. We use first-order logic to model such relations and apply reasoning to decide upon the relevance of static traffic elements. The need for perfect information is alleviated with the help of Markov logic networks, reconciling hard decision rules on the one hand and uncertainty intrinsic to the environment perception process on the other hand. The evaluation of twelve intersection scenes shows very promising results for the relevance estimation of traffic lights: Markov logic networks are able to judge whether enough information is available and determine the relevant traffic lights reliably in such cases.

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Section: A Driving Situation Representationmentioning

confidence: 99%

“…Previous work put an emphasis on the recognition of such elements [6], [9], [12], [14], [17]. Based on that work we focus on Dennis Nienhüser, Thomas Gumpp and J. Marius Zöllner are with FZI Forschungszentrum Informatik, Intelligent Systems and Production Engineering, Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, Germany.…”

Section: Introductionmentioning

confidence: 99%

Relevance estimation of traffic elements using Markov logic networks

Nienhüser

Gumpp

Zöllner

2011

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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“…The detection is tracked using extended Kalman filters and the road is modeled by a clothoid. Nienhūser et al [30] also model the road as a clothoid, generating its parameters by adapting a third order polynomial approximation. Their system is able to determine to which lane a specific road sign belongs to.…”

Section: Related Workmentioning

confidence: 99%

A computer vision assisted geoinformation inventory for traffic infrastructure

Šegvić

Brkić

Kalafatić

et al. 2010

13th International IEEE Conference on Intelligent Transportation Systems

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Geoinformation inventories are often employed as a tool for providing a comprehensive view onto the required state of traffic control infrastructure. They are especially important in road safety inspection where, in combination with georeferenced video, they enable repeatable off-line and off-site assessments as an attractive aternative to classic onsite inspection. Nevertheless, manual assessments are tedious and time-consuming even when performed off-line, and this seriously impairs the potential of the geoinformation inventory concept. This paper therefore researches a hypothesis that suitable georeferenced video processing techniques would allow reliable automation of the following operations: i) creation of the traffic inventory from the given video, and ii) assessing the video against the state in the inventory. Prominent computer vision approaches have been rigorously and systematically evaluated and the obtained results are presented. The results seem to support the hypothesis, although further work is required for a more definite answer.

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