MAVBench

MAVBench数据集由德克萨斯大学奥斯汀分校的研究团队创建，旨在通过模拟和实际应用案例来评估和优化微型飞行器（MAVs）的性能。数据集包含五个不同的应用案例，包括扫描、空中摄影、包裹递送、3D地图制作和搜索与救援。这些案例覆盖了从环境感知、路径规划到控制的全过程，旨在帮助研究人员和工程师理解和优化飞行器的计算需求和能效。通过这些案例，MAVBench数据集能够揭示计算性能与飞行器总系统能耗之间的关系，为飞行器的设计和优化提供重要见解。

The MAVBench dataset was developed by a research team at The University of Texas at Austin, with the objective of evaluating and optimizing the performance of micro air vehicles (MAVs) using both simulated and real-world application scenarios. The dataset encompasses five distinct application cases: scanning, aerial photography, package delivery, 3D mapping, and search and rescue. These cases cover the entire workflow from environmental perception, path planning to flight control, aiming to assist researchers and engineers in comprehending and optimizing the computational requirements and energy efficiency of MAVs. Through these scenarios, the MAVBench dataset can uncover the relationship between computational performance and the total system energy consumption of micro air vehicles, offering critical insights for the design and optimization of MAVs.