Unifying the Data Highway: A Harmonized Telemetry Format for Driver Analytics

Various providers allow drivers to record telemetry data while driving in competitive racing, civil traffic or other specific scenarios. While a variety of software tools enable users to analyze recorded data, in most cases these programs do not allow the import of other telemetry formats, thus limiting their use. For this reason, this work aims to compare the most common telemetry recording file types in terms of their corresponding software and recording scope. A new generalized data structure named Harmonized Telemetry Format (HTF) is introduced, combining intersections between the formats.

Authors

Institutions

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/iceccme62383.2024.10796414
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unifying the Data Highway: A Harmonized Telemetry Format for Driver Analytics

Michael Walther, Max Schlosser, Matthias Vodel, Christian Roschke et al.
Traffic Prediction and Management Techniques
article

Unifying the Data Highway: A Harmonized Telemetry Format for Driver Analytics

Michael Walther, Max Schlosser, Matthias Vodel, Christian Roschke, Marc Ritter, Matthias Baumgart, Richard Vogel, Robert Manthey
article en

Abstract

Various providers allow drivers to record telemetry data while driving in competitive racing, civil traffic or other specific scenarios. While a variety of software tools enable users to analyze recorded data, in most cases these programs do not allow the import of other telemetry formats, thus limiting their use. For this reason, this work aims to compare the most common telemetry recording file types in terms of their corresponding software and recording scope. A new generalized data structure named Harmonized Telemetry Format (HTF) is introduced, combining intersections between the formats.

Hochschule Mittweida (DE)
Sustainable cities and communities
Openalex Percentile: Top 74%
Traffic Prediction and Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.