Fixation distance and fixation duration to vertical road signs

Costa, Marco; Simone, Andrea; Vignali, Valeria; Lantieri, Claudio; Palena, Nicola

doi:10.1016/j.apergo.2017.12.017

Cited by 45 publications

(25 citation statements)

References 31 publications

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“…The traffic signs were seen at a distance much closer than their line of sight. The threshold was 35 ms, which shows that short connections to traffic signs can lead to correct identification [9].…”

Section: Literature Reviewmentioning

confidence: 97%

Real Time Road Blocker Detection and Distance Calculation for Autonomous Vehicle Based on Camera Vision

Ullah¹,

Ullah²,

Rahman³

et al. 2020

AJAST

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Statistics indicate that most road accidents occur due to a lack of time to react to instant traffic. This problem can be addressed with self-driving vehicles with the application of automated systems to detect such traffic events. The Autonomous Vehicle Navigation System (ATS) has been a standard in the Intelligent Transport System (ITS) and many Driver Assistance Systems (DAS) have been adopted to support these Advanced Autonomous Vehicles (IAVs). To develop these recognition systems for automated self-driving cars, it's important to monitor and operate in real-time traffic events. It requires the correct detection and response of traffic event an automated vehicle. In this paper proposed to develop such a system by applying image recognition to detect and respond to a road blocker by means of real-time distance measurement. To study the performance by measuring accuracy and precision of road blocker detection system and distance calculation, various experiments were conducted by using Shalom frame dataset and detection accuracy, precision of 99%, 100%, while distance calculation 97%, 99% has been achieved by this approach.

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Section: Literature Reviewmentioning

confidence: 97%

Real Time Road Blocker Detection and Distance Calculation for Autonomous Vehicle Based on Camera Vision

Ullah¹,

Ullah²,

Rahman³

et al. 2020

AJAST

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show abstract

“…Though traffic signs play an important role in traffic safety and regulating drivers' behavior, they are often unattended. In the study of [12], Costa et al show that different types of signs have different ability to capture the attention of drivers. During gazing, the drivers may not remember the content of a sign or may miss some other important signs.…”

Section: A Traffic Signs For Human Driving Safetymentioning

confidence: 99%

Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives

Liu

Chang

et al. 2019

IEEE Access

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Traffic signs recognition (TSR) is an important part of some advanced driver-assistance systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign detection (TSD) is a challenging problem because of different types, small sizes, complex driving scenes, and occlusions. In recent years, there have been a large number of TSD algorithms based on machine vision and pattern recognition. In this paper, a comprehensive review of the literature on TSD is presented. We divide the reviewed detection methods into five main categories: color-based methods, shape-based methods, color-and shape-based methods, machine-learning-based methods, and LIDAR-based methods. The methods in each category are also classified into different subcategories for understanding and summarizing the mechanisms of different methods. For some reviewed methods that lack comparisons on public datasets, we reimplemented part of these methods for comparison. The experimental comparisons and analyses are presented on the reported performance and the performance of our reimplemented methods. Furthermore, future directions and recommendations of the TSD research are given to promote the development of the TSD.

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“…For example, at 50 km per hour a vehicle will travel 2.8 m in just 0.2 s and 13.9 m in a full second. Eye tracking methods are widely used in driving research (Costa et al 2014(Costa et al , 2018 for they help to measure the detectability of road signs. Giving various measures of the ocular movements, for example the first fixation duration, they enable researchers to capture the moment when the road signs or other roadside objects are being spotted.…”

Section: Current Studymentioning

confidence: 99%

“…Giving various measures of the ocular movements, for example the first fixation duration, they enable researchers to capture the moment when the road signs or other roadside objects are being spotted. Also long or short glances indicate on the presence or absence of a conscious awareness in sign processing (Costa et al 2014(Costa et al , 2018. In our research we used an eyetracker measures to control the participants' visual attention allocation.…”

Section: Current Studymentioning

confidence: 99%

Are longer advertising slogans more dangerous? The influence of the length of ad slogans on drivers’ attention and motor behavior

et al. 2018

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The purpose of this project was to verify whether slogans displayed on roadside advertisements created a distraction for drivers. In order to explain the mechanisms underlying this phenomenon, Study 1 examined the impact of slogan length on attentional processing efficiency. Study 2 investigated the relationship between the length of the slogan and the motor behavior of respondents driving a car simulator. We assumed that slogan length would decrease the drivers' task performance in both studies. Study 1 was conducted on a group of 70 participants, who completed a modified version of the Attention Network Test (ANT; Fan et al. Journal of Cognitive Neuroscience, 14(3), 340-347, 2002). The task consisted of visual ads intended to distract respondents from the primary task. Reaction times were significantly longer when ads had longer slogans compared to shorter slogans. Study 2, involving a car simulator, was conducted on a group of 53 drivers performing a task of driving in a convoy. Participants were shown billboards with ads at the roadside in random order (two pairs of corresponding ads with short and long text on it). Participants' driving performance decreased when longer slogans were presented in comparison to the short-slogan condition. In conclusion, we interpret the results of Study 1 to indicate that longer slogan leads to a greater load of attentional processing. This subsequently leads to a reduction of the processing efficiency within attentional systems and further increases the amount of time to resist the irrelevant stimulus. A consequence of this, as shown in Study 2 using a car simulator, is a decrease in cognitive resources necessary for safe driving and therefore worse performance on a driving task.

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Fixation distance and fixation duration to vertical road signs

Cited by 45 publications

References 31 publications

Real Time Road Blocker Detection and Distance Calculation for Autonomous Vehicle Based on Camera Vision

Real Time Road Blocker Detection and Distance Calculation for Autonomous Vehicle Based on Camera Vision

Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives

Are longer advertising slogans more dangerous? The influence of the length of ad slogans on drivers’ attention and motor behavior

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