Multisensor Bicycle Overtaking Raw Dataset for Predictive Criticality Assessment
Type of the data | Audiovisual | |
Type of the data | Dataset | |
Type of the data | Collection | |
Total size of the dataset | 13087734935 | |
Author | Harnisch, Vincent Leo | |
Upload date | 2026-08-19T06:46:55Z | |
Publication date | 2026-08-19T06:46:55Z | |
Publication date | 2026-08-19 | |
Abstract of the dataset | This dataset contains 71 multimodal field recordings collected with a mobile bicycle-mounted sensing platform to support research on the early assessment of potentially critical motor-vehicle overtaking manoeuvres. Each recording includes synchronized data from a rear-facing TI AWR1843BOOST 77 GHz mmWave radar, TF-Luna time-of-flight and HC-SR04 ultrasonic lateral-distance sensors, a camera, GPS, and an inertial measurement unit, together with diagnostic logs. Seventeen sessions additionally contain live machine-learning inference and warning logs. The data support causal vehicle tracking, trajectory reconstruction, overtaking-event detection, reference-assisted labeling, full-ride replay, and the evaluation of edge-deployable warning models. The final thesis evaluation used a manually reviewed event dataset derived from 53 rides, comprising 491 usable events. Two rides contain header-only IMU files and are handled using explicit missing-data indicators. Supplementary focus-group documentation is included only as a presentation-pdf and statistical questionnaire. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2833 | |
Publisher | Technische Universität Bergakademie Freiberg | |
Specification of the discipline(s) | 4::44::409::409-05 | |
Title of the dataset | Multisensor Bicycle Overtaking Raw Dataset for Predictive Criticality Assessment |