Experimental Dataset for Intelligent PID Tuning in Autonomous Vehicle Navigation
收藏Zenodo2026-03-26 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.19228319
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资源简介：
This dataset contains experimental navigation data collected from a small-scale autonomous vehicle platform used to evaluate intelligent PID tuning methods.
The dataset includes heading measurements, GPS coordinates, and reference trajectories obtained during waypoint-based navigation experiments. A total of 196 valid heading samples are provided, along with repeated experimental runs used for controller performance evaluation.
The dataset supports comparative analysis of multiple PID tuning strategies, including ITAE optimization, adaptive control, fuzzy logic, and reinforcement learning. Performance metrics such as tracking error, response time, and ITAE are derived from repeated navigation trials.
This dataset is associated with the study:“Comprehensive Intelligent PID Tuning Framework for Autonomous Vehicle Navigation ”.
The data can be used for:- Reproducing experimental results- Benchmarking control algorithms- Autonomous navigation research
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Zenodo创建时间：
2026-03-26
