Data · dataset · 2026
Multi-Surface Driving Maneuvers: A Dataset from Standstill to Vehicle Dynamics Limits
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/44a91t97pmnha1k9
This dataset presents vehicle dynamics and steering system measurements in various driving conditions.
Description
The test vehicle is a rear-wheel-drive Hyundai IONIQ 5 equipped with Michelin CrossClimate 2 tires at nominal inflation pressures. Vehicle dynamics signals were captured using a Kistler Correvit S-Motion optical sensor and an ANavS Multi-Sensor Real-Time Kinematic Global Navigation Satellite System, while left and right tie rod forces were measured with dedicated strain gauges.
Furthermore, standard internal vehicle signals were accessed via the vehicle’s CAN bus. These signals were synchronously recorded on a dSPACE MicroAutoBox III at a sampling rate of 1000 Hz. Testing was conducted at the Karlsruhe Institute of Technology Campus East under dry environmental conditions.
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The driving maneuvers were performed manually and capture a broad spectrum of dynamic states: standstill, parking procedures, slow-driving transitions, and maneuvers up to 50 km/h at the lateral vehicle dynamics limits. The dataset encompasses a wide range of surface textures, including alignment turn plates, concrete, cobblestone, and two distinct asphalt variants. The resulting dataset contains 41 distinct test runs, providing 42 minutes of recorded signals and a static vehicle parameter set, making it highly suitable for the evaluation of dynamic single-track models alongside steering and tire models.
Links
Where it is published
- DOI doi.org/10.35097/44a91t97pmnha1k9 ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering
- Inferred from text
- Automotive engineering 71%
Provenance · 2 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/44a91t97pmnha1k9 | 13 d ago | JSON v1 |
| RADAR4Memory | 10.35097/44a91t97pmnha1k9 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].anzsrc:group:4002 | enrichment · radar service eu de | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |