Low-cost sensor to detect overtaking based on optical flow

Guzmán, Pablo; Díaz, Javier; Ralli, Jarno; Agís, Rodrigo; Ros, Eduardo

doi:10.1007/s00138-011-0392-2

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…Vision-based motion target tracking computes the position of the target on each frame image and estimates the speed of the target and the position in the next frame image. The conventional tracking methods include the relevant tracking method [55] and the optical flow tracking method [56]. The correlation tracking algorithm does not require high image quality, which can work stably under the low signal-to-noise ratio conditions, and adapt to the more complex scene structure.…”

Section: Targetmentioning

confidence: 99%

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

et al. 2021

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Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the basic guarantee of its safety and intelligence. The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. The wrong environmental perception will affect the control of the vehicle, thus causing safety risks. This paper discusses the intelligent vehicle perception technology and introduces the development status and control strategies of several important sensors such as machine vision, laser radar, and millimeter-wave radar. Target detection, target recognition, and multisensor fusion are analyzed in the optimized part of sensor results. The functions of the intelligent vehicle assistance system which has been applied to the ground at present are described, and the lane detection, adaptive cruise control (ACC), and autonomous emergency braking (AEB) are analyzed. Finally, the paper looks forward to the research direction of sense-based intelligent vehicle perception technology, which will play an important role in guiding the development of intelligent vehicles and accelerate the landing process of intelligent vehicles.

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Section: Targetmentioning

confidence: 99%

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

et al. 2021

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“…Most related studies such as [20], [19], [17], [21] have primarily focused on detecting overtaking vehicle only. Vehicles that are receding w.r.t ego-vehicle are not addressed in any of the works.…”

Section: A Related Workmentioning

confidence: 99%

“…Methods such as [20], [19], [17] detect the partially visible overtaking vehicles that are passing by the side of the ego-vehicle as seen from the front view of egovehicle. The second category has methods such as [21], [17] that detect overtaking events as seen from the rear-view of the ego-vehicle. Motion cues have been used extensively in different ways to detect the overtaking vehicles.…”

Section: A Related Workmentioning

confidence: 99%

Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies

Satzoda

Trivedi

2014

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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Abstract-Although on-road vehicle detection is a wellresearched area, overtaking and receding vehicle detection with respect to (w.r.t) the ego-vehicle is less addressed. In this paper, we present a novel appearance-based method for detecting both overtaking and receding vehicles w.r.t the ego-vehicle. The proposed method is based on Haar-like features that are classified using Adaboost-cascaded classifiers, which result in detection windows that are tracked in two directions temporally to detect overtaking and receding vehicles. A detailed and novel evaluation method is presented with 51 overtaking and receding events occurring in 27000 video frames. Additionally, an analysis of the detected events is presented, specifically for naturalistic driving studies (NDS) to characterize the overtaking and receding events during a drive. To the best knowledgea of the authors, this automated analysis of overtaking/receding events for NDS is a first of its kind in literature. I. MOTIVATION & SCOPE

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A Novel Optical Flow Algorithm Based on Bionic Features for Robust Tracing

Ren

Chen

Wang

et al. 2015

Proceedings of the 4th International Conference on Computer Engineering and Networks

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Low-cost sensor to detect overtaking based on optical flow

Cited by 5 publications

References 21 publications

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies

A Novel Optical Flow Algorithm Based on Bionic Features for Robust Tracing

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Low-cost sensor to detect overtaking based on optical flow

Cited by 5 publications

References 21 publications

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

Overtaking &amp; receding vehicle detection for driver assistance and naturalistic driving studies

A Novel Optical Flow Algorithm Based on Bionic Features for Robust Tracing

Contact Info

Product

Resources

About

Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies