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相关概念视频

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...

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相关实验视频

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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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一种增强的A*方法,包含加密的内存数据库,用于ASV高效的本地路径规划.

Yuanshuo Liu1, Defeng Wu1,2, Zheng You1,2

  • 1School of Marine Engineering, Jimei University, Xiamen, China.

Mathematical biosciences and engineering : MBE
|March 8, 2024
PubMed
概括

本研究引入了用于自主地表车辆 (ASV) 路径规划的增强A*算法,通过使用修改的启发式和加密的内存数据库来提高效率和实时性能,以便在已知的水域中更快地导航.

关键词:
自主地表车辆 (ASV)增强的 A* 算法改善了启发式函数的功能.记忆数据库 记忆数据库 记忆数据库路径规划路径规划路径规划

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科学领域:

  • 机器人技术和自主系统
  • 人工智能的人工智能
  • 海洋工程 海洋工程

背景情况:

  • 当前的自主地表车辆 (ASV) 路径规划方法经常受到高时间复杂性的困扰,限制了实时性能.
  • 像神经网络这样的现有算法是计算密集型的,对高效的本地路径规划构成挑战.
  • 对于ASVs来说,更快,更现实,更安全的路径规划解决方案的需求至关重要.

研究的目的:

  • 提出一个增强的A*算法,用于自动地表车辆 (ASV) 的高效局部路径规划.
  • 通过修改 A* 算法的启发式函数和整合内存数据库来提高 ASV 路径规划的实时性能和准确性.
  • 通过加密的内存数据库来增强导航安全,用于存储先前的环境路径信息.

主要方法:

  • 通过整合ASV运动特征来改进A*算法的启发函数,以提高路径查找效率.
  • 实施了一种新的临时目标点机制,以解决远距离目标检测范围的问题.
  • 整合了一个加密的内存数据库来存储和检索之前导航的水环境路径作为先验信息.

主要成果:

  • 与现有的路线规划方法相比,增强的A*算法显示了更好的速度和实时功能.
  • 修改后的启发式函数和临时目标点策略有效地解决了ASV导航中的挑战.
  • 加密的内存数据库在再次遇到已知的水域时促进了更快的导航,同时确保了数据安全.

结论:

  • 提议的增强的A*算法为自主地表车辆局部路径规划提供了计算效率高和有效的解决方案.
  • 修改后的启发式和加密的内存数据库的集成显著提高了导航速度和现实性.
  • 这种方法为ASV导航提供了安全和优化的方法,特别是在先前绘制路线的环境中.