Advisory speed for Intelligent Speed Adaptation in adverse conditions

Gallen, Romain; Hautiére, Nicolas; Glaser, Sébastien

doi:10.1109/ivs.2010.5548035

Cited by 13 publications

(13 citation statements)

References 17 publications

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“…• Safety orientated ADAS: the detection of fog could be used in a wider safety system such as a dynamic intelligent speed adaptation system as proposed in [16]. Provided that vehicular/infrastructure communications are available, such a system could also be used in a global information system in order to warn drivers before they enter a fog cloud.…”

Section: Discussionmentioning

confidence: 99%

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Towards night fog detection through use of in-vehicle multipurpose cameras

Gallen¹,

Cord²,

Hautiére³

et al. 2011

2011 IEEE Intelligent Vehicles Symposium (IV)

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Abstract-Compared to daytime, a larger proportion of accident happens during nighttime. The altered visibility of the road scene for the drivers may partially explain this situation. The latter becomes worse in fog presence. In this paper, two camera-based methods are proposed to detect the presence of night fog in images grabbed by in-vehicle multipurpose cameras. They rely on the visual effects of night fog. A first approach can assess the presence of fog around the vehicle thanks to the detection of the backscattered veil induced by the vehicle ego lights. It aims at detecting fog when the vehicle is alone in absence of exterior public lighting. A second approach can assess the presence of fog thanks to the detection of halos around light sources in the vehicle environment. It aims at detecting fog in presence of road traffic or public lighting. Both methods are presented and illustrated with actual images of fog. Their complementarity makes it possible to envision a complete night fog detection system. There are numerous applications for such a system: automation or adaptation of vehicle lights, contextual speed computation and reliability improvement for camera-based systems.

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Section: Discussionmentioning

confidence: 99%

“…There are numerous applications for such a system: automation or adaptation of vehicle lights, contextual speed computation [16] and camera-based system reliability improvement. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Towards night fog detection through use of in-vehicle multipurpose cameras

Gallen¹,

Cord²,

Hautiére³

et al. 2011

2011 IEEE Intelligent Vehicles Symposium (IV)

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“…In particular, elderly people are likely to have more accidents in fog than young people due, among other factors, to reduced contrast perception [21]. One ADAS partially dedicated to fog consists in adapting the speed of the vehicle with respect to the prevailing weather conditions as proposed in [22] so as to increase the safety margin of the driver. We believe that visibility enhancement algorithms may also be used to develop what we call a Fog Vision Enhancement System (FVES), as it is already the case for night driving assistance (NVES).…”

Section: A Principlementioning

confidence: 99%

“…As proposed in [22], the speed at collision can be related to the probability of fatal injury. Thus, from the vehicle speeds at collision, the safety benefit of the FVES can be estimated in term of the ratio of probabilities of fatal injury.…”

Section: B Safety Benefitsmentioning

confidence: 99%

Vision Enhancement in Homogeneous and Heterogeneous Fog

Tarel

Hautiére

Caraffa

et al. 2012

IEEE Intell. Transport. Syst. Mag.

387

210

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Abstract-One source of accidents when driving a vehicle is the presence of fog. Fog fades the colors and reduces the contrasts in the scene with respect to their distances from the driver. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement in road images. The visibility enhancement algorithm proposed in [1] is not optimized for road images. In this paper, we reformulate the problem as the inference of the local atmospheric veil from constraints. The algorithm in [1] thus becomes a particular case. From this new derivation, we propose to better handle road images by introducing an extra constraint taking into account that a large part of the image can be assumed to be a planar road. The advantages of the proposed local algorithm are the speed, the possibility to handle both color and gray-level images, and the small number of parameters. A new scheme is proposed for rating visibility enhancement algorithms based on the addition of several types of generated fog on synthetic and camera images. A comparative study and quantitative evaluation with other state-of-the-art algorithms is thus proposed. This evaluation demonstrates that the new algorithm produces better results with homogeneous fog and that it is able to deal better with the presence of heterogeneous fog. Finally, we also propose a model allowing to evaluate the potential safety benefit of an ADAS based on the display of defogged images.

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“…Intelligent speed adaptation [10] and variable speed limit sign systems [1] have increasingly gained attention as a means to increase road traffic safety. Related research in these areas, however, (i) focuses on experiments and simulations of traffic behavior [4], [5] and models for determining optimal speed limits [11], (ii) shows the effectiveness of speed adaptation in terms of reducing casualties [1], [12], homogenizing speed [3], increasing compliance with speed limits [10], as well as (iii) discusses impacts on travel time and throughput. We, instead, investigate constraints that implementations of such a system must respect and verify the safety that can be guaranteed under these constraints.…”

Section: Related Workmentioning

confidence: 99%

Towards Formal Verification of Freeway Traffic Control

Mitsch

Loos

Platzer

2012

2012 IEEE/ACM Third International Conference on Cyber-Physical Systems

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Abstract-We study how CPS technology can help improve freeway traffic by combining local car GPS positioning, traffic center control decisions, and communication to achieve more tightly coupled feedback control in intelligent speed adaptation. We develop models for an intelligent speed adaptation that respects variable speed limit control and incident management. We identify safe ranges for crucial design parameters in these systems and, using the theorem prover KeYmaera, formally verify safety of the resulting CPS models. Finally, we show how those parameter ranges can be used to decide trade-offs for practical system implementations even for design parameters that are not modeled formally.

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Advisory speed for Intelligent Speed Adaptation in adverse conditions

Cited by 13 publications

References 17 publications

Towards night fog detection through use of in-vehicle multipurpose cameras

Towards night fog detection through use of in-vehicle multipurpose cameras

Vision Enhancement in Homogeneous and Heterogeneous Fog

Towards Formal Verification of Freeway Traffic Control

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