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Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
[article]
2021
arXiv
pre-print
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In this work, we propose a custom-trained state-of-the-art object detector to work with roadside cameras to capture driver phone usage without the need for human intervention. ...
DeepSort object tracking algorithm is also integrated into the best-performing model to collect records of only the unique violations, and enable the proposed approach to count the number of vehicles. ...
Models are trained using a number of different state-of-the art object detector frameworks. ...
arXiv:2109.02119v3
fatcat:gyk3rrjpnzbupcd2trrk4b7jwi
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
2021
2021 IEEE International Conference on Big Data (Big Data)
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In this work, we propose a custom-trained state-of-the-art object detector to work with roadside cameras to capture driver phone usage without the need for human intervention. ...
DeepSORT object tracking algorithm is also integrated into the best-performing model in order to avoid logging duplicate violations. ...
In short, the primary contributions of this paper are as follows: • Train and evaluate multiple object detection methods [4] - [8] to detect mobile phone use violations with a reasonable degree of accuracy ...
doi:10.1109/bigdata52589.2021.9671378
fatcat:hxeqa3v4ofbl3bziyo7ucsidom
An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
[article]
2021
arXiv
pre-print
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With the enrichment of smartphones, driving distractions caused by phone usages have become a threat to driving safety. ...
The model is tested based on driving simulator experiments of three driving distractions caused by phone usage: browsing short messages, browsing long messages, and answering a phone call. ...
Based on the unified AutoML procedure embedded, the detection performances of various phone usage tasks have been compared, which provides datadriven insights about developing driver monitoring system. ...
arXiv:2103.08311v1
fatcat:jwvye74idbd4pgkt5jswtgna6m
In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors
2020
Sensors
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This paper presents an analysis of modern research related to potential threats in a vehicle cabin, which is based on situation monitoring during vehicle control and the interaction of the driver with ...
In the modern world, such systems enable the detection of potentially dangerous situations on the road, reducing accident probability. ...
Conflicts of Interest: The authors declare no conflict of interest. Sensors 2020, 20, 5049 ...
doi:10.3390/s20185049
pmid:32899524
fatcat:m3iat4x2xngyzdzvcd7zo4s3um
Driver Distraction Using Visual-Based Sensors and Algorithms
2016
Sensors
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The purpose of this paper is the analysis of the state-of-the-art regarding the detection of drivers' distraction. The scope of the paper can be seen in Figure 1 and is commented as follows. ...
actions (e.g., phone usage). ...
into cell phone usage violation and non-violation classes. ...
doi:10.3390/s16111805
pmid:27801822
pmcid:PMC5134464
fatcat:ku6ytfqa3zavtligyipcvxmydi
Detecting Kernel Refcount Bugs with Two-Dimensional Consistency Checking
2021
USENIX Security Symposium
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A refcount of a tracked object is incremented when a new reference is assigned and decremented when a reference becomes invalid. ...
the function to correspondingly operate the refcount, and thus a violating case is a potential bug. ...
Comparison with Existing Tools We measure the bug detection capability of CID by comparing it with the state-of-the-art approaches. ...
dblp:conf/uss/Tan0YL021
fatcat:xwrjvxktvjgalkom2zphbaoqzy
Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
2010
Advances in Human-Computer Interaction
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The possible acceptance of such future technology by drivers is assessed in a Wizard-Of-Oz user study, and feasibility of automatically recognising various driver states is demonstrated by an example system ...
The ability of a car to understand natural speech and provide a human-like driver assistance system can be expected to be a factor decisive for market success on par with automatic driving systems. ...
We start our use-case overview by giving a brief summary of the state-of-the-art in in-car driver assistance and entertainment systems. 3.1. State-of-the-Art. ...
doi:10.1155/2010/263593
fatcat:4qxfn2zkbvfwzfe2b62aetstku
An Innovative Smartphone-based Solution for Traffic Rule Violation Detection
2020
International Journal of Advanced Computer Science and Applications
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We propose the use of smartphones as participatory sensors via their cameras to detect the moving and stationary objects (e.g., cars and lane markers) and understand the resulting driving and traffic violation ...
of each object. ...
ACKNOWLEDGMENT This author would like to thank the Deanship of Scientific Research at Umm Al-Qura University for the financial support of the project #17-COM-1-02-0002. ...
doi:10.14569/ijacsa.2020.0110177
fatcat:45fldf2ydnhhxd5q73dftbm3gm
Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges
2023
Sustainability
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This review paper concludes that invasive methods provide high accuracy with relatively cheap implementation, while noninvasive systems do not violate passenger privacy but lack state-of-the-art accuracy ...
Discussion on the advantages and disadvantages is highlighted. Hence, this paper provides an analysis of 146 papers on the current state of the field. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/su15021332
fatcat:2nfymior2rex3pdu5t6uml4kj4
Physical Security for Fleet Management Systems
2019
Cryptography
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Fleet management involves many security-relevant participating entities, such as vehicles, FM mobile clients, smart trackers with goods, drivers, etc. ...
Fleet Management (FM) deals with the management of transport, distribution, and logistics of national and international goods exchange, in which many operators worldwide are involved. ...
Clone-Resitant Smart Tracker and Goods The state of the art Smart Tracker (ST) [9] presents an alternative goods tracking system based on GSM networks. ...
doi:10.3390/cryptography4010001
fatcat:w5zykach7zdftijiyud7dq6mba
Transport-domain applications of widely used data sources in the smart transportation: A survey
[article]
2018
arXiv
pre-print
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social networks, 5) transit data with the focus on smart cards, and 6) environmental data. ...
The rapid growth of population and the permanent increase in the number of vehicles engender several issues in transportation systems, which in turn call for an intelligent and cost-effective approach ...
Furthermore, comparing the current rate of mobile phones' usage in a specific location with the historical average rate usage in the same location is a sign of a congestion situation owing to the facts ...
arXiv:1803.10902v3
fatcat:tc67qy4x4vbtjb76qi6mbwrqy4
Smart Technologies – Workshop on Challenges and Trends for Privacy in a Hyper-connected World
[chapter]
2016
IFIP Advances in Information and Communication Technology
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Together with the audience, we will discuss the impacts of smart devices and appliances on individuals and society as a whole. ...
To that end, specific examples of smart devices will be addressed based on topicality. ...
from Internet and Smart Phone Usage ...
doi:10.1007/978-3-319-41763-9_8
fatcat:isglhk2yqbfdvmucu3w266e4uu
Design and Implementation of a Highly Scalable, Low-Cost Distributed Traffic Violation Enforcement System in Phuket, Thailand
2021
Sustainability
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We present the architectural design of a traffic violation enforcement system that can optimize the cost of deployment and resource utilization. ...
One of the main reasons for this trend is that, in many countries, road users violate road safety regulations and traffic laws. ...
Another state-of-the-art neural network detector is called You Only Look Once (YOLO) [60] . ...
doi:10.3390/su13031210
fatcat:rdxumhp4sbb5nkpv2kivzgbcua
A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms
2015
Sensors
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This review therefore serves as a trove of information, and will inform the specialist and the student regarding the current state of the art in driver style analysis systems, the application of these ...
The aim of the investigation is to evaluate the possibilities for unique driver identification utilizing the approaches identified in other driver behaviour studies. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s151229822
pmid:26690164
pmcid:PMC4721742
fatcat:jpvbcqf775f2xiapw27226q6zm
Grand Theft App: Digital Forensics of Vehicle Assistant Apps
[article]
2021
arXiv
pre-print
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This paper deals with the digital forensic analysis of vehicle assistant apps of eight car manufacturers. ...
Using the extensive data gathered, we successfully reconstruct trips and refueling processes, determine parking positions and duration, and track the locking and unlocking of the vehicle. ...
Fabian Ising was also supported by a graduate scholarship of Münster University of Applied Sciences. ...
arXiv:2106.04974v1
fatcat:6qu7kdn55zfxvj2szjjv2khese
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