2026-10-09T20:34:59Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34033155 2026-09-30T14:49:41Z category_26251 item_type_3 month_year_09_2026

<p dir="ltr">"Dataset AutoDyn: A Simulation-Based Temporal Shape-Based Learning Framework for Maneuver Recognition in Semi-Autonomous" Vehicles.</p> Kumlachew Yeneneh (24615087) Automotive mechatronics and autonomous systems Temporal shape-based learning maneuver recognition semi-autonomous vehicles vehicle dynamics <p dir="ltr">This dataset, titled “Data Site Composition for AutoDyn: Temporal Shape-Based Learning for Complex Maneuver Recognition in Semi-Autonomous Vehicles”, contains structured vehicle dynamic parameters recorded during various driving maneuvers under simulated semi-autonomous conditions. The dataset was developed to support research in maneuver recognition, vehicle behavior modeling, and adaptive control systems for intelligent vehicles. The data include synchronized measurements of speed (km/h), steering angle (°), lateral acceleration (m/s²), yaw rate (°/s), longitudinal acceleration (m/s²), throttle position (%), and brake pressure (bar) across multiple maneuver types such as lane change, cornering, merging, and obstacle avoidance. Each record represents a distinct maneuver instance sampled at consistent intervals during dynamic vehicle operation. This dataset is suitable for applications in: Temporal and spatial pattern recognition for vehicle maneuvers Training and benchmarking of machine learning models (e.g., LSTM, CNN, SVM) for trajectory classification Validation of driver-assistance and semi-autonomous vehicle control algorithms Development of predictive and adaptive control frameworks for vehicle dynamics All data are formatted in tabular form (Excel/CSV) and were generated from controlled simulation environments ensuring consistency and reproducibility. No personally identifiable or human subject data are included.</p> 2026-09-30T14:49:41Z Dataset Dataset 10.6084/m9.figshare.34033155.v1 https://figshare.com/articles/dataset/_p_dir_ltr_Dataset_AutoDyn_A_Simulation-Based_Temporal_Shape-Based_Learning_Framework_for_Maneuver_Recognition_in_Semi-Autonomous_Vehicles_p_/34033155 CC BY 4.0