914 Hits in 4.3 sec

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure [article]

Günther Reitberger and Stefan Zernetsch and Maarten Bieshaar and Bernhard Sick and Konrad Doll and Erich Fuchs
2018 arXiv   pre-print
This article presents an approach to cooperative tracking of cyclists using smart devices and infrastructure-based sensors.  ...  We show in numerical evaluations on scenes where cyclists are starting or turning right that the cooperation leads to an improvement in both the ability to keep track of a cyclist and the accuracy of the  ...  The cooperation combined smart device information with an infrastructure based detection to improve the infrastructure only tracking of cyclists.  ... 
arXiv:1803.02096v2 fatcat:qzfc6hcbrvdnbkvyh5ef4jugiq

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble [article]

Maarten Bieshaar and Stefan Zernetsch and Andreas Hubert and Bernhard Sick and Konrad Doll
2018 arXiv   pre-print
The CNN is complemented by a smart device based starting movement detection originating from smart devices carried by the cyclist.  ...  In this article we present a cooperative approach for starting movement detection of cyclists using a boosted stacking ensemble approach realizing feature- and decision level cooperation.  ...  The detection of starting motions was done using smart devices and infrastructure based sensors.  ... 
arXiv:1803.03487v1 fatcat:bz5lco2mi5hfbasxw4xijcwe3a

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence [article]

Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
2018 arXiv   pre-print
Heterogeneous, open sets of agents (cooperating and interacting vehicles, infrastructure, e.g. cameras and laser scanners, and VRUs equipped with smart devices and body-worn sensors) exchange information  ...  Based on the requirements of the cooperative approach for the communication a new strategy for an ad hoc network is proposed.  ...  Acknowledgement This work was funded within the priority program "Cooperatively Interacting Automobiles" of the German Science Foundation DFG.  ... 
arXiv:1809.03916v1 fatcat:gtc4v42cdbgyfjc4ddwgqriiie

Integration of vulnerable road users in cooperative ITS systems

Johan Scholliers, Marcel van Sambeek, Kees Moerman
2017 European Transport Research Review  
Introduction This paper describes the development of an architecture for the integration of Vulnerable Road Users (VRUs), i.e. pedestrians, cyclists and powered two-wheelers (PTWs) in Cooperative ITS (  ...  Two levels of use cases can be identified: awareness of the presence of VRUs near potentially dangerous situations, and collision risk warning, based on trajectories of the road users.  ...  Open Access This article is distributed under the terms of the Creative Comm ons Attribution 4.0 International License (http://, which permits unrestricted use, distribution  ... 
doi:10.1007/s12544-017-0230-3 fatcat:6gkdwjrhu5ay5o4i5bmvx3zzwi

Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users [article]

Maarten Bieshaar
2018 arXiv   pre-print
This article describes an approach to detect the wearing location of smart devices worn by pedestrians and cyclists.  ...  Finally, the approach is evaluated on a real world dataset consisting of pedestrians and cyclists.  ...  In total the evaluation is based on 11 pedestrians and 52 cyclists. Wearing Location Classification In this section the results of the smart devices wearing location classification are presented.  ... 
arXiv:1803.02097v1 fatcat:mva5bdcmdrgbhpvd7ljdxvybke

Starting Movement Detection of Cyclists Using Smart Devices [article]

Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
2018 arXiv   pre-print
Smart devices can be used to detect intentions, e.g., an occluded cyclist intending to cross the road, to warn vehicles of VRUs, and prevent potential collisions.  ...  This article presents a human activity recognition approach to detect the starting movement of cyclists wearing smart devices.  ...  The classifiers based on the smart device in the backpack use the largest number of features.  ... 
arXiv:1808.04449v1 fatcat:mhzdncmra5dwzeqvm5epmxsntm

Cooperative and Connected Intelligent Transport Systems for Sustainable European Road Transport

Meng Lu, Oktay Turetken, Evangelos Mitsakis, Robbin Blokpoel, Rick Gilsing, Paul Grefen, Areti Kotsi
2018 Zenodo  
The development and large-scale deployment of C-ITS (Cooperative ITS) will not only provide services for road users, but also substantially contribute to automated road transport.  ...  It will establish research pilot sites for deployment of sustainable services that are supported by local authorities, and ensure interoperability and seamless availability of high-quality services for  ...  The paper is based on the current view of the authors. With the development of the project, we will further develop and update the content presented here.  ... 
doi:10.5281/zenodo.1456611 fatcat:qcawys3cazewzluiwyow57jd4y

IoT Relation and Impact on 5G [chapter]

John Davies
2018 Zenodo  
This report highlights several IoT vertical domain use cases collected by AIOTI (Alliance for IoT Innovation) and determines the specific requirements they impose on the underlying network infrastructure  ...  on critical communications.  ...  In [4] , several 5G requirements were derived by Siemens based on their studies on vertical application domains, such as Smart City, Smart Mobility, Smart Manufacturing, Smart Energy and Smart Building  ... 
doi:10.5281/zenodo.2600423 fatcat:db5adge235dndkcy55yr3jripq

Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks [article]

Jan Schneegans, Maarten Bieshaar
2018 arXiv   pre-print
In this article, we focus on detecting the initial movement of cyclist using smart devices.  ...  ., pedestrians and cyclists, will be equipped with smart device that can be used to detect their intentions and transmit these detected intention to approaching cars such that their drivers can be warned  ...  The approach is based on an convolutional neural networks trained on the inertial data (accelerometer and gyroscope) obtained from the smart device worn by the cyclist.  ... 
arXiv:1808.04451v1 fatcat:yowy5nm2ezhajly3puijdkuaka

Text/Conference Paper

Diego Botache, Liu Dandan, Maarten Bieshaar, Bernhard Sick
2019 Jahrestagung der Gesellschaft für Informatik  
In the future, vulnerable road users (VRUs) such as cyclists and pedestrians will be equipped with smart devices capable of communicating with intelligent vehicles and infrastructure.  ...  In this article, we propose a method based on human activity recognition for early pedestrian movement transition detection using smart devices.  ...  An approach to cooperative perception and intention detection of cyclists including smart devices is presented in [Bi17b] and [Bi18b] .  ... 
doi:10.18420/inf2019_ws26 dblp:conf/gi/BotacheLBS19 fatcat:3m7af6gkivgdrd52ofsjl634oi

Smart mobility: A survey

Ricardo Faria, Lina Brito, Karolina Baras, Jose Silva
2017 2017 International Conference on Internet of Things for the Global Community (IoTGC)  
It works based on the collection, processing, integration, and dissemination of information based on static and real-time data obtained from the sensors on the roads.  ...  To exhibit cooperative vehicular networks, hardware modules were designed for the vehicle-to-vehicle, the vehicle-toinfrastructure and infrastructure-to-infrastructure communications using Zigbee and Wi-Fi  ... 
doi:10.1109/iotgc.2017.8008972 fatcat:gmoypynz5jd5dcf5yzuv6nwcxe

Smart Roads: An Overview of What Future Mobility Will Look Like

Salvatore Trubia, Alessandro Severino, Salvatore Curto, Fabio Arena, Giovanni Pau
2020 Infrastructures  
This new approach introduces the so-called "Smart Roads," i.e., road infrastructures capable of communicating with vehicles and self-monitoring fundamental perspectives concerning driverless vehicles and  ...  This paper also pursues the objective of describing the global vision, the possible future direction of these innovations concerning the automotive and transport industries, and a particular focus on infrastructures  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/infrastructures5120107 fatcat:3vsmttegajf5nbwjrogjorxsq4

Cycling the Smart and Sustainable City: Analyzing EC Policy Documents on Internet of Things, Mobility and Transport, and Smart Cities

Frauke Behrendt
2019 Sustainability  
This article asks how cycling, a sustainable form of urban mobility, is discussed in the context of smart cities and the Internet of Things in European Commission (EC) policy documents, and how this compares  ...  The conclusion highlights the implications of sustainable urban modes of transport such as cycling being absent from IoT/smart debates, including lack of policy visibility and funding opportunities, underlining  ...  (e.g., GPS tracking and smart locks) [32] .  ... 
doi:10.3390/su11030763 fatcat:lmgbmk52tjfllfkjb2r4p44anq

Real Time Services for Cloud Computing Enabled Vehicle Networks

G.sasikala G.sasikala
2013 IOSR Journal of Computer Engineering  
Smart phone can largely enhance driver's comfort and convenience degree based on its strong sensing, processing and communication functions.  ...  Usually, GPS-based devices, video camera, as well as other road side units (RSU) and road side infrastructure (RSI) are utilized in parallel with ITS deployment.  ...  The authors in [7] present a cooperative transit tracking method with the aid of built-in sensors inside the smart phone.  ... 
doi:10.9790/0661-1110814 fatcat:hu323wqa35avhmjjlc4o3bamla

AMSense: How Mobile Sensing Platforms Capture Pedestrian/Cyclist Spatiotemporal Properties in Cities

Alphonse Vial, Winnie Daamen, Aaron Yi Ding, Bart van Arem, Serge Hoogendoorn
2020 IEEE Intelligent Transportation Systems Magazine  
Acknowledgment This work was supported by the European Research Council and Amsterdam Institute for Advanced Metropolitan Solutions through the ALLEGRO project under Grant 669792.  ...  Therefore, the processing tasks on the gathered data happens at the edge, that is on mobile sensing platforms and the edge infrastructure between mobile devices and cloud services.  ...  selforganization, cooperative effort and on-board processing capabilities [1] .  ... 
doi:10.1109/mits.2019.2953509 fatcat:noskejrs2zdljjcgadchu6eu7m
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