Machine vision for traffic violation detection system through genetic algorithm

Uy, Aaron Christian; Bedruz, Rhen Anjerome; Quiros, Ana Riza F.; Bandala, Argel A.; Dadios, Elmer P.

doi:10.1109/hnicem.2015.7393241

Cited by 27 publications

(9 citation statements)

References 4 publications

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“…Object Detection; Frequency of Visit; Whereabouts; Income Level; Preference [29], [33], [54], [60], [80] Photo of the Environment Object Detection; Presence; Demographics; Identity; Social Relationship [15], [34], [85] OBD Data…”

Section: B Apparatus and Stimulimentioning

confidence: 99%

Effects of Knowledge and Experience on Privacy Decision-Making in Connected Autonomous Vehicle Scenarios

Cai¹,

Xiong²

2022

Proceedings 2022 Symposium on Usable Security

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To enhance the acceptance of connected autonomous vehicles (CAVs) and facilitate designs to protect people's privacy, it is essential to evaluate how people perceive the data collection and use inside and outside the CAVs and investigate effective ways to help them make informed privacy decisions. We conducted an online survey (N = 381) examining participants' utility-privacy tradeoff and data-sharing decisions in different CAV scenarios. Interventions that may encourage safer data-sharing decisions were also evaluated relative to a control. Results showed that the feedback intervention was effective in enhancing participants' knowledge of possible inferences of personal information in the CAV scenarios. Consequently, it helped participants make more conservative data-sharing decisions. We also measured participants' prior experience with connectivity and driver-assistance technologies and obtained its influence on their privacy decisions. We discuss the implications of the results for usable privacy design for CAVs.

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Section: B Apparatus and Stimulimentioning

confidence: 99%

Effects of Knowledge and Experience on Privacy Decision-Making in Connected Autonomous Vehicle Scenarios

Cai¹,

Xiong²

2022

Proceedings 2022 Symposium on Usable Security

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“…One approach to try to reduce road accidents is the design of a framework able to recognize traffic signal violations. Generally, those systems are based on computer vision [7]- [9]. For instance, [9] proposed a method based on plate recognition able to send SMS feedback to the corresponding authorities.…”

Section: A Speed Limit Violation Detectionmentioning

confidence: 99%

Performance Evaluation of Dissemination Protocols Over Vehicular Networks for an Automatic Speed Fine System

2021

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Vehicular accidents cause severe problems in our society including economic, material, and even life losses. The cause of those situations relies on several factors such as traffic density, vehicular flow, lack of traffic signaling and speed limit violations. Some of these problems cannot completely be eliminated but could be mitigated by proposing solutions such as people's awareness or intelligent radars to monitor speed limit violations. This work proposes a system to automatically generate fines in case of speed limit infractions. Our approach uses vehicular networks to monitor the vehicles' speed. We also propose a dissemination protocol to ensure the propagation and delivery of the generated fines at the road-side units, achieving a 94.99% and 99.91% fine delivery rate in urban scenarios with vehicles' densities of 30 and 200 vehicles per km 2 , respectively.INDEX TERMS Dissemination protocol, speed control system, speed limit infractions, vehicular networks.

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“…The latter algorithm has been highlighted in providing efficiency as it covers a small area where the pixel changing occurs, hence it could save both memory and time such as those that applied the algorithm for traffic surveillance [10], [11] and examined image processing for detecting defects in industrial pipes [9].…”

Section: Motion Detection Algorithm and Alert Systemmentioning

confidence: 99%

A CCTV system with SMS alert (CMDSA): An implementation of pixel processing algorithm for motion detection

Rahman¹,

Abdullah²,

Hamid³

et al. 2017

AIP Conference Proceedings

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Machine vision for traffic violation detection system through genetic algorithm

Cited by 27 publications

References 4 publications

Effects of Knowledge and Experience on Privacy Decision-Making in Connected Autonomous Vehicle Scenarios

Effects of Knowledge and Experience on Privacy Decision-Making in Connected Autonomous Vehicle Scenarios

Performance Evaluation of Dissemination Protocols Over Vehicular Networks for an Automatic Speed Fine System

A CCTV system with SMS alert (CMDSA): An implementation of pixel processing algorithm for motion detection

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