Reference : Big Automotive Data Preprocessing: A Three Stages Approach
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/41653
Big Automotive Data Preprocessing: A Three Stages Approach
English
Tawakuli, Amal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Kaiser, Daniel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
8-Oct-2019
Yes
ACM Computer Science in Cars Symposium
08-10-2019
[en] Big Data ; Data Prepocessing ; Edge Computing ; Connected Vehicles
[en] The automotive industry generates large datasets of various formats, uncertainties and frequencies. To exploit Automotive Big Data, the data needs to be connected, fused and preprocessed to quality datasets before being used for production and business processes. Data preprocessing tasks are typically expensive, tightly coupled with their intended AI algorithms and are done manually by domain experts. Hence there is a need to automate data preprocessing to seamlessly generate cleaner data. We intend to introduce a generic data preprocessing framework that handles vehicle-to-everything (V2X) data streams and dynamic updates. We intend to decentralize and automate data preprocessing by leveraging edge computing with the objective of progressively improving the quality of the dataflow within edge components (vehicles) and onto the cloud.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/41653
https://cscs19.cispa.saarland/files/cscs19_camera_ready/15_Big-Automotive-Data-Preprocessing.pdf
Extended Abstract

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
Big-Automotive-Data-Preprocessing.pdfExtended AbstractPublisher postprint853.02 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.