Tailigator: Cooperative System for Safety Distance Observance

Olaverri-Monreal, Cristina; Lorenz, R; Michaeler, Florian; Krizek, Gerd Christian; Pichler, Matthias

doi:10.1109/cts.2016.0076

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…This can be seen in a graphical way by the theory error curve provided by [6] in Figure 4. As shown in the graph, the mean values of the measured distances of the four positions are consistent with the calculated theoretical error curve, even though the error bars do not reach the real distance curve.…”

Section: Evaluation Resultsmentioning

confidence: 94%

“…In the same line of research but focusing on eliciting a behavior change from the driver in the following/rear vehicle, in [6,8], the stereoscopic capturing and processing of images by rear cameras was used to calculate in real time the distance between a leading and a following vehicle.…”

Section: Related Workmentioning

confidence: 99%

“…The original system described in [6] was based on a Raspberry Pi 1 Model B+ and designed and implemented from scratch aiming at a stable approach with a real-time performance. There were several shortcomings (e.g., 0.2 s time difference between cameras, iteration duration between 3 and 6 s, and unstable frame capturing) that needed to be tackled in order for the system to be applicable on the road.…”

Section: System Implementationmentioning

confidence: 99%

“…Tailigator Advanced Driver Assistant Systems (ADAS) in which visual data related to the safety distance is provided to the rear vehicle in real-time [6]. …”

Section: Figurementioning

confidence: 99%

“…It has been argued that fluency of communication between users and systems is determined by the kind of information provided to the driver [5]. Adhering to this statement, our Tailigator system seeks to reduce road fatalities and damage by using traffic condition warnings in real-time to alert drivers when the longitudinal safety distance between two vehicles is not maintained and poses a danger to both [6,7]. This kind of visual information might improve safety by making drivers more mindful with regard to potential tailgating behavior, as it emphasizes the interpersonal collaborative nature of driving in order to improve road safety, rather than just safety through sensor-equipped vehicles.…”

Section: Introductionmentioning

confidence: 99%

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Empirical Analysis of Safe Distance Calculation by the Stereoscopic Capturing and Processing of Images Through the Tailigator System

Krizek

Hausleitner

Böhme

et al. 2019

Sensors

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Driver disregard for the minimum safety distance increases the probability of rear-end collisions. In order to contribute to active safety on the road, we propose in this work a low-cost Forward Collision Warning system that captures and processes images. Using cameras located in the rear section of a leading vehicle, this system serves the purpose of discouraging tailgating behavior from the vehicle driving behind. We perform in this paper the pertinent field tests to assess system performance, focusing on the calculated distance from the processing of images and the error margins in a straight line, as well as in a curve. Based on the evaluation results, the current version of the Tailigator can be used at speeds up to 50 km per hour without any restrictions. The measurements showed similar characteristics both on the straight line and in the curve. At close distances, between 3 and 5 m, the values deviated from the real value. At average distances, around 10 to 15 m, the Tailigator achieved the best results. From distances higher than 20 m, the deviations increased steadily with the distance. We contribute to the state of the art with an innovative low-cost system to identify tailgating behavior and raise awareness, which works independently of the rear vehicle’s communication capabilities or equipment.

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Section: Evaluation Resultsmentioning

confidence: 94%

Section: Related Workmentioning

confidence: 99%

Section: System Implementationmentioning

confidence: 99%

“…Tailigator Advanced Driver Assistant Systems (ADAS) in which visual data related to the safety distance is provided to the rear vehicle in real-time [6]. …”

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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