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Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence
[article]
2018
arXiv
pre-print
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Vulnerable road users (VRUs, i.e. cyclists and pedestrians) will play an important role in future traffic. ...
Concealments, implausibilities and inconsistencies are resolved by the collective intelligence of cooperating agents. ...
Acknowledgement This work was funded within the priority program "Cooperatively Interacting Automobiles" of the German Science Foundation DFG. ...
arXiv:1809.03916v1
fatcat:gtc4v42cdbgyfjc4ddwgqriiie
Topical collection on the influence of Intelligent Transport Systems on vulnerable road user accidents
2018
European Transport Research Review
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Topical collection on the influence of Intelligent Transport Systems on vulnerable road user accidents
Johan Scholliers There are several definitions for the term "Vulnerable road users". ...
This Topical Collection contains five papers based on the research conducted in the project Vulnerable Road Users using Intelligent Transport Systems (VRUITS), which was co-funded by the European Commission ...
doi:10.1186/s12544-018-0337-1
fatcat:vxh4tnq4brcvfltrxswipxhxji
Improving Pedestrian Priority via Grouping and Virtual Lanes
[article]
2022
arXiv
pre-print
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Regardless of the low-speed environment, sharing space with motor vehicles can make vulnerable road users feel uneasy. ...
The shared space design is applied in urban streets to support barrier-free movement and integrate traffic participants (such as pedestrians, cyclists and vehicles) into a common road space. ...
on coexisting time and Euclidean distance between pedestrians to detect groups; [20] groups the road user based on similar origin and destination (OD) when they enter a shared space. ...
arXiv:2205.08783v1
fatcat:k7aicu7yxrblneoglv2fkyvfte
Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey
2022
Sensors
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There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. ...
Autonomous vehicles are being visualized as a viable alternative to solve road accidents providing a general safe environment for all the users on the road specifically to the most vulnerable. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s22124614
pmid:35746397
pmcid:PMC9229412
fatcat:kfcgpqtlsvff3ks2turfpnfrom
Security, Privacy and Trust: Cognitive Internet of Vehicles
[article]
2021
arXiv
pre-print
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failure and road user fatalities. ...
Besides, the rise of machine intelligence propels the technological evolution of transportation systems one step further and leads to a new framework known as Cognitive Internet of Vehicles (C-IoV). ...
A single vehicle presumably has limited perception ability on the road, therefore, limited knowledge about the road and the other vehicles' intent. ...
arXiv:2104.12878v1
fatcat:q2b2nkjoajgurk7fgs2m5binvq
Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users
[article]
2018
arXiv
pre-print
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to improve the safety of vulnerable road users. ...
The detection, which is based solely on the sensors of the smart devices, is important context-information which can be used to parametrize subsequent algorithms, e.g. for dead reckoning or intention detection ...
The collective intelligence of all road users, infrastructure, and VRU are used to reach for a cooperative VRU intention detection approach [3] with the overall goal of increased safety, especially the ...
arXiv:1803.02097v1
fatcat:mva5bdcmdrgbhpvd7ljdxvybke
Negative attitudes towards cyclists influence the acceptance of an in-vehicle cyclist detection system
2017
Transportation Research Part F: Traffic Psychology and Behaviour
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Based on an updated version of the Technology Acceptance Model (TAM), this study analyses the main determinants of drivers' intention to use an ADAS aimed at detecting cyclist and preventing potential ...
Considering the role of attitudes towards other road users in the intention to use new ADAS aimed to improve their safety could foster the user's acceptance, especially for those people who express a negative ...
Once again a world's first that saves lives by helping to protect unprotected road users". ...
doi:10.1016/j.trf.2017.06.021
fatcat:qge67ucwzrfw3nbcnzwmkfxsdu
A review on key challenges in intelligent vehicles: Safety and driver‐oriented features
2021
IET Intelligent Transport Systems
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The huge advantages of intelligent vehicles (IVs) in improving road safety and operating efficiency have become a research focus in the industry. ...
IVs have made significant progress in recent years, but it is still face great challenges in order to be accepted by users on a large scale. ...
In addition to DL as the main method of intrusion detection, there are signature-based detection, anomaly-based detection, malware detection and software vulnerability detection. ...
doi:10.1049/itr2.12088
fatcat:4r2tbv2emzdxdjv2q7waednmdi
Detection of Vulnerable Road Users in Smart Cities
2014
2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies
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A smart city is based on the use of smart computing technologies, such as Intelligent Transportation Systems and Vehicular Ad hoc Networks. ...
Vulnerable road users (VRUs) are among the users at higher risks of traffic accidents. In order to cope with the problems of the growing urban communities, the concept of smart cities has emerged. ...
The users at greatest risk are the vulnerable road users (VRU's), such as pedestrian and cyclists. ...
doi:10.1109/ngmast.2014.60
dblp:conf/ngmast/GuayanteDM14
fatcat:bzh3jxdcpjcy3aigcannouwg24
The Intelligent Blockchain for the Protection of Smart Automobile Hacking
2022
Journal of multimedia information system
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Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain. ...
This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. ...
The most important of these processes is a software algorithm that makes decisions about steering, speed and stopping based on large amounts of data collected through sensors. ...
doi:10.33851/jmis.2022.9.1.33
fatcat:2wdwhp57i5b55cwfz5shhbiv3m
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
[article]
2020
arXiv
pre-print
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A key aspect of driving a road vehicle is to interact with the other road users, assess their intentions and make risk-aware tactical decisions. ...
The traffic graphs not only model the spatial interactions amongst the road users, but also their individual intentions through temporally associated message passing. ...
To perform spatiotemporal learning on graphs, we use the mentioned three attributes of road users. ...
arXiv:2011.08722v1
fatcat:bivvboak3jgqhkintrgvzysok4
Authors Index
2021
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
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Images using TinyML Strategies with Transfer Learning FitNet: A deep neural network driven architecture for real time posture rectification Implementation of a WGAN-GP for Human Pose Transfer using a 3 ...
in photovoltaic panels
Patta, Abdul A Heuristic and Decentralized Approach to Intelligent Traffic Management for Low-Density Road Junctions Mittal, Amit Technology Adoption Intention as a Driver of ...
Platform for User Interface Design in Android Programming Learning Assistance System Sharma, Purushottam Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach Implementations ...
doi:10.1109/3ict53449.2021.9581857
fatcat:cstqtiz5rjg65llynoy4ehcdua
On the Road with Third-party Apps: Security Analysis of an In-vehicle App Platform
2019
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems
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While the architecture inherits much from regular Android, we scrutinize the adequateness of its security mechanisms with respect to the in-vehicle setting, particularly affecting road safety and user ...
The prospect of running third-party code on a device that is integrated into a safety critical in-vehicle system raises serious concerns for safety, security, and user privacy. ...
ACKNOWLEDGEMENTS Thanks are due to Henrik Broberg for orchestrating collaboration with Volvo Cars and for his valuable comments on earlier drafts of the paper. ...
doi:10.5220/0007678200640075
dblp:conf/vehits/ErikssonGS19
fatcat:yfxlhbiz5zbyrn4iobltdut3sy
Walking Secure: Safe Routing Planning Algorithm and Pedestrian's Crossing Intention Detector Based on Fuzzy Logic App
2021
Sensors
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With this objective, a mobile app based on the integration of the smartphone sensors and a fuzzy logic strategy to determine the pedestrian's crossing intention around crosswalks is presented. ...
Improving road safety through artificial intelligence is now crucial to achieving more secure smart cities. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21020529
pmid:33451012
fatcat:jcmm2xqec5awhefjggf5rir34a
Road Safety and Vulnerable Road Users - Internet of People Insights
2017
Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems
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Researchers have been setting their focus on improving the quality of life of the human being, especially at large urban centres. ...
, to the Vulnerable Road Users (VRU) problem. ...
of such road users. ...
doi:10.5220/0006359303110316
dblp:conf/smartgreens/FernandesNA17
fatcat:rnxmyrntm5ea3nmjpabarpxtfi
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