Recognition and tracking of temporary lanes in motorway construction sites

Gumpp, Thomas; Nienhüser, Dennis; Liebig, Rebecca; Zöllner, J. Marius

doi:10.1109/ivs.2009.5164295

Cited by 18 publications

(3 citation statements)

References 3 publications

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“…Previous research developed in this area is, in most of the cases, inadequate to the goals that must be achieved. Regarding these objectives, Gumpp et al (2009) and Hu et al (2011) developed new approaches to increase the effectiveness and efficiency of prevention measures. These approaches seek to minimize some of the main risks to the motorway workers, especially the ones associated with running over and falling from height.…”

Section: Literature Reviewmentioning

confidence: 99%

Safety management in the maintenance works on motorways through DELPHI methodology and Pareto's concepts

Silva

Rodrigues

2019

IJOOES

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Several researchers have developed a thematic approach on the need to improve safety management in the maintenance works on motorways in operation. The use of instruments linked to efficiency and effectiveness can be one possible solution to this challenge. The main objective of the present investigation is to prove that it is possible to identify the main risky activities and safety measures contained in the A area curve and linked to the Pareto´s concepts and show that these safety measures can reduce the risk level of the most dangerous activities. The methodology used was a DELPHI panel formed by safety experts from different areas on motorways. The statistic treatment was made through the computer programme IBM SPSS Statistics 24. The results show that it is possible to identify the 38 most dangerous risks linked to the most dangerous activities and the 44 most efficient and effective safety measures to prevent/avoid those risks. The research conclusions show that the risk level decrease with the adopted safety measures and that the identified risk activities and the associated safety measures represent the A area from an ABC graphic linked to the Pareto´s concept. These conclusions have obvious relevance to the decisions about maintenance works on motorways

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Section: Literature Reviewmentioning

confidence: 99%

Safety management in the maintenance works on motorways through DELPHI methodology and Pareto's concepts

Silva

Rodrigues

2019

IJOOES

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“…While lane estimation for systems like lane departure warning is already in series production, road work zones still pose a challenge. Gumpp et al [5] addressed this problem by using a colour video camera which can distinguish between yellow (currently valid) and white (original, now invalid) road markings. This paper proposes a different approach which uses only a greyscale video camera like it is commonly used for advanced driver assistance systems.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic estimation of temporary lanes at road work zones

Graf

Wimmer

Dietmayer

2012

2012 15th International IEEE Conference on Intelligent Transportation Systems

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Road work zones pose a great challenge for the environmental perception with sensors and the correct modelling of the scenery. Especially the recognition of the valid lane is of great interest for driver assistance systems. At road work zones temporary lanes invalidate the original lanes while the latter are still present on the road. All lines are detected with a greyscale video camera. In this paper we present an approach which generates different hypotheses for the lanes originated from the two different types of lines. A particle filter is applied for smoothing and filtering while a JIPDA algorithm is used for association and with its existence estimation helps to find the most plausible hypothesis of the currently valid lane.

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“…Information obtained from road-side structures may be used to improve the estimate of the lane shape and the position of the vehicle within the lane, as showed in [19], where only a monocular camera is used. Furthermore, at construction sites it is hard to identify the temporary lanes, a method for this using color images and beacon extraction is presented in [20]. In [21] the authors present an algorithm for free space estimation, capable of handling non-planar roads, using a stereo camera system.…”

Section: Introductionmentioning

confidence: 99%

Joint ego-motion and road geometry estimation

Lundquist

Schön

2011

Information Fusion

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We provide a sensor fusion framework for solving the problem of joint ego-motion and road geometry estimation. More specifically we employ a sensor fusion framework to make systematic use of the measurements from a forward looking radar and camera, steering wheel angle sensor, wheel speed sensors and inertial sensors to compute good estimates of the road geometry and the motion of the ego vehicle on this road. In order to solve this problem we derive dynamical models for the ego vehicle, the road and the leading vehicles. The main difference to existing approaches is that we make use of a new dynamic model for the road. An extended Kalman filter is used to fuse data and to filter measurements from the camera in order to improve the road geometry estimate. The proposed solution has been tested and compared to existing algorithms for this problem, using measurements from authentic traffic environments on public roads in Sweden. The results clearly indicate that the proposed method provides better estimates.

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Recognition and tracking of temporary lanes in motorway construction sites

Cited by 18 publications

References 3 publications

Safety management in the maintenance works on motorways through DELPHI methodology and Pareto's concepts

Safety management in the maintenance works on motorways through DELPHI methodology and Pareto's concepts

Probabilistic estimation of temporary lanes at road work zones

Joint ego-motion and road geometry estimation

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