Efficient and Selective Upload of Data from Connected Vehicles

Khan, Zaryab; Prehofer, Christian

doi:10.5220/0009790105590566

Cited by 1 publication

(2 citation statements)

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“…An evaluation of data collection with an approach similar to the Priority Select in realistic city traffic simulations with 100.000 cars has shown a data reduction by factor of 20 (Khan and Prehofer 2020). Here, we have presented and evaluated a more extensive service model, including dynamic changes and updates.…”

Section: Related Workmentioning

confidence: 99%

“…As vehicles increasingly use connected services like navigation and traffic warnings, it is reasonable to assume that there is a continuous connection for such additional metadata upload. For instance, (Khan and Prehofer 2020) has shown in simulations that redundancy reduction and Wifi off-loading for vehicle data collection can reduce traffic by a factor up to 20 in larger systems. Here, we present a new service model for different kinds of services and a distributed implementation of our model, including dynamic reaction to changes like service class upgrades or leaving vehicles.…”

Section: Introductionmentioning

confidence: 99%

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A New Service Model for Vehicle Sensing Data Collection

2021

Proceedings of the 15th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGV

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Vehicles are equipped with more and more sensors like cameras and radar system. These can collect lots of useful data, e.g. for road monitoring, high-definition map updates and for information about accidents or other emergencies. To access and utilize this data, key challenges are the huge amount of data and also the different application needs. We present a new solution to coordinate the vehicle data collection, offering different service models and reducing data uploads by avoiding similar data. We use an architecture with a central coordination scheme to avoid redundant image uploads. It has been successfully evaluated with data from 30 cars driving in Munich, created from a simulator. This includes realistic scenarios with dynamic changes and different services.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%