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V3: A vehicle-to-vehicle live video streaming architecture

Meng Guo, Mostafa H. Ammar, Ellen W. Zegura
2005 Pervasive and Mobile Computing  
In this paper, we propose V3, an architecture to provide a live video streaming service to driving vehicles through vehicle-to-vehicle (V2V) networks.  ...  We consider the problem of how to enable a live video streaming service to driving vehicles.  ...  Concluding Remarks In this paper, we propose our design of V3 -an architecture to enable live video streaming service to driving vehicles.  ... 
doi:10.1016/j.pmcj.2005.08.001 fatcat:ngtvxowfcjcqbmpc7udkh7hhju

V3: A Vehicle-to-Vehicle Live Video Streaming Architecture

Meng Guo, M.H. Ammar, E.W. Zegura
Third IEEE International Conference on Pervasive Computing and Communications  
In this paper, we propose V3, an architecture to provide a live video streaming service to driving vehicles through vehicle-to-vehicle (V2V) networks.  ...  We consider the problem of how to enable a live video streaming service to driving vehicles.  ...  Concluding Remarks In this paper, we propose our design of V3 -an architecture to enable live video streaming service to driving vehicles.  ... 
doi:10.1109/percom.2005.53 dblp:conf/percom/GuoAZ05 fatcat:xrvyur56v5hx7hxlqxw2njndba

Object Detection and Tracking using YOLO v3 Framework for Increased Resolution Video

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In online phase, real-time video is applied to feature extractor to extract the features and then applied to the pre-trained YOLO v3 model.  ...  The proposed system is used for vehicle detection and tracking from the high-resolution video.  ...  multiple, simultaneous, live streams on a single GPU.  ... 
doi:10.35940/ijitee.e3038.049620 fatcat:tv3hq6ebxzgj7kcqjgo7ctg7gy

Introduction to the special issue on PerCom 2005

Klara Nahrstedt, Philip McKinley, Mukesh Singhal
2005 Pervasive and Mobile Computing  
Zegura present the V3 architecture for a live video streaming service among moving vehicles, in the paper "V3: A Vehicle-to-Vehicle Live Video Streaming Architecture".  ...  The challenge addressed by the V3 architecture is to provide video streaming over vehicle-to-vehicle (V2V) networks, which are frequently partitions, and whose data sources are mobile and transient.  ... 
doi:10.1016/j.pmcj.2005.10.001 fatcat:j2tbumsotzbjhlgq2tfpwjttga

A Study of Live Video Streaming over Highway Vehicular Ad hoc Networks

Meenakshi Mittal
2010 International Journal of Computer Applications  
In the video streaming environment the video source can be a typical video server, while the video receivers are vehicles that are driving on the road.  ...  This proposal can help us to increase the performance and can avoid packet loss in live video streaming over vehicular ad hoc network.  ...  In live video streaming, because a late frame is likely to be dropped by the decoder, we decide to drop the packet with earlier deadline.  ... 
doi:10.5120/46-643 fatcat:5tsvaczbenhmtjpolh6sr5fuvq

Live Media Streaming in VANETs using Traffic Flow

Shuoping Wang, Zhipeng Wang, Jun Liu, Honghao Gao, Meng Kuai
2015 International Journal of Multimedia and Ubiquitous Engineering  
This paper considers the scenario of live multimedia streaming multicast to vehicles.  ...  Through evaluation, our proposed scheme is able to have video delivered with a satisfying delay and acceptable loss ratio.  ...  Through intervehicle communications, vehicles can exchange data with each other, including multimedia data. It is a very attractive service to stream live video contents to driving vehicles.  ... 
doi:10.14257/ijmue.2015.10.1.17 fatcat:eo2ok6hf4zep5ds5n2zvx3yyre

Video Streaming over Vehicular Ad Hoc Networks: A Comparative Study and Future Perspectives

Kayhan Ghafoor
2016 ARO. The Scientific Journal of Koya University  
But, video streaming over vehicular environment is a daunting task due to high movement of vehicles. This paper presents a survey on state-ofarts of video streaming over VANET.  ...  One of the promising applications is video transmission in vehicle-to-vehicle or vehicle-to-infrastructure environments.  ...  In the performance analysis, the authors assured the superiority of their method as compared to the architecture of V3 that introduced by Guo, et al. (2005) -which streams video from a static node to  ... 
doi:10.14500/aro.10128 fatcat:6x6oxicwc5glpp5kgj23pms7le

Developing Mobility and Traffic Visualization Applications for Connected Vehicles [article]

Noah Carter, Md Salman Ahmed, Jacob Hoyos, Matthew Dale, JT Blevins, Nick Hodge, Nusrat Chowdhury, Mohammad A. Hoque
2018 arXiv   pre-print
to remotely monitor a roadway intersection's state over HTTP.  ...  It can serve as a basis for further development in the field of connected and autonomous vehicles.  ...  On the phones, the display would update roughly 1 second sooner than the traffic division's live videos.  ... 
arXiv:1811.11012v1 fatcat:5zfoj7m4nzhhhbbrqznkyr5xfq

Emerging Vehicular Applications [chapter]

Uichin Lee, Ryan Cheung, Mario Gerla
2009 Vehicular Networks  
While safe navigation has always been the prime motivation behind vehicle-tovehicle (V2V) and vehicle-to-infrastructure (V2I) communications, vehicular networks provide a promising platform for a much  ...  Given the automobile's role as a critical component in peoples' lives, embedding software-based intelligence into cars has the potential to drastically improve the user's quality of life.  ...  Data Producer/Consumer Applications Emergency Video Streaming Vehicle-to-Vehicle live Video (V3) Streaming Architecture V3 supports location-aware video streaming so that users can watch videos originating  ... 
doi:10.1201/9781420085891-c6 fatcat:4lgkkdjqdjhwxfjevalslresk4

Intelligent Traffic Management System

2019 International journal of recent technology and engineering  
Violations using YOLOv3 to detect and track vehicles and save a snapshot in case a violation is committed.  ...  There is hardly any scope to expand the area of the roadways. The rise in the number of vehicles each year has saturated the capacity the roads were built to carry.  ...  The system proposed in this paper employs multiple object tracking in a video stream using Neural Network [8, 9, 10] . The algorithm can process live stream even if the camera is unstable and shaky.  ... 
doi:10.35940/ijrte.c6168.098319 fatcat:ohwvvwchejculnpqzwoyqkxlje

Multimedia traffic information in vehicular networks

Ouri Wolfson, Bo Xu, Hyung Ju Cho
2009 Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '09  
In this paper we consider a novel multimedia application, in which drivers may query multimedia clips captured by smartphones mounted on other vehicles.  ...  We analyze these strategies theoretically and by simulations, and identify the one that is superior to the others.  ...  Relevant Work Video streaming in VANET's. Guo et al. [1] propose a vehicle-to-vehicle live video streaming architecture called V3.  ... 
doi:10.1145/1653771.1653849 dblp:conf/gis/WolfsonXC09 fatcat:nrnygshe4fe5lk4rwxtunennni

Object Recognition for Organizing the Movement of Self-Driving Car

Wasin AlKishri, Mahmood Al-Bahri
2021 Zenodo  
The architecture of the algorithm and the essential components on which the field experiment was conducted are described.  ...  To start the object recognition with the video stream, it is need to enter in the following command line: darknet detector demo cfg / coco.data cfg / yolov.cfg yolov.weights <video file> Depending on the  ...  This is the main cause of YOLO v3's slower performance as compared to YOLO v2. Figure 2 shows the architecture of the YOLO network of the third version [7].  ... 
doi:10.5281/zenodo.4698894 fatcat:o4gadagmynf33bv5fl7kqafgii

Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras [article]

Piyush Yadav, Dipto Sarkar, Dhaval Salwala, Edward Curry
2020 arXiv   pre-print
We propose a deep learning-based Complex Event Processing (CEP) method that relies on publicly available video camera streams for traffic estimation.  ...  Our approach couples both flow and count measures during interpolation by considering each vehicle as a sample point and their speed as weight.  ...  Video Stream Manager: The video stream manager connects to multiple video feeds using a video stream interface which is a network adapter to provide the connection to different streaming API's.  ... 
arXiv:2008.00928v1 fatcat:ijk4gcwtgjd5xaquk2yo7cvgxi

Traffic Prediction Framework for OpenStreetMap Using Deep Learning Based Complex Event Processing and Open Traffic Cameras

Piyush Yadav, Dipto Sarkar, Dhaval Salwala, Edward Curry, Judith A. Verstegen, Krzysztof Janowicz
2020 International Conference Geographic Information Science  
We propose a deep learning-based Complex Event Processing (CEP) method that relies on publicly available video camera streams for traffic estimation.  ...  Our approach couples both flow and count measures during interpolation by considering each vehicle as a sample point and their speed as weight.  ...  Video Stream Manager: The video stream manager connects to multiple video feeds using a video stream interface which is a network adapter to provide the connection to different streaming API's.  ... 
doi:10.4230/lipics.giscience.2021.i.17 dblp:conf/giscience/YadavSSC21 fatcat:edpovln5o5circq2e7o4o6gdda

A Study on Smart Regulation of Emergency Vehicles

Ashwin Mohan
2020 International Journal for Research in Applied Science and Engineering Technology  
This paper proposes a novel technique to assist the emergency vehicles namely ambulance to cross the traffic signal without any delay which arises due to the time taken by other vehicles to make a way  ...  Once an ambulance is detected, the signal is sent to the siren detector to identify whether ambulance is in an emergency state. The flow of traffic is then controlled by the Node MCU module.  ...  Object Detection of vehicles in the traffic This module uses the principles of object detection to detect the presence of an emergency vehicle in the video-stream read by the camera module.  ... 
doi:10.22214/ijraset.2020.30384 fatcat:zn735jruyveqjnet2u45zpk5fa
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