NoFantasy —— Beta Sprint Essays5

NoFantasy 2024-12-23 03:58:02
Course for This Assignment2401_MU_SE_FZU
Team NameNoFantasy
Assignment RequirementsTeamwork—beta Spring
Objectives of This AssignmentBeta Sprint
Other ReferencesNo Reference

1. SCRUM Section

1.1 Team Achievements

Team MemberTask CompletedTime SpentIssues EncounteredTomorrow's Arrangement
Liu ZheFinal polish and animations for PPT presentation2hNoneConduct mock defense with teammates
You CongHanReviewed and corrected flow of the entire PPT2hMinor inconsistencies in styleAlign with team for final style consistency
Lin YuLiangSimplified complex slides in technical sections2hNeeded external review for clarityConduct technical rehearsal
Ou ZhiHuaBackend error handling and log improvements3hNonePrepare backend for integration testing
Lin YiCompleted database performance tuning2hNoneConduct final round of database stress testing
Xu MingJunCoordinated integration testing with front-end and back-end teams4hSome APIs failed during testingResolve issues with Ou ZhiHua and Lin Yi
Guo ShaoSongAdded Alpha blog visuals and finalized blog content2hNoneShare final blog draft with the team
Gao YuPublished Alpha blog on team's website1hNoneEnsure blog formatting and accessibility
Wang ZiChongPromoted Alpha blog on team’s social media1hNoneRespond to any feedback or comments received
Huang XingChengFixed UI bugs reported during testing2hSome bugs required deeper investigationComplete fixes and verify stability
Zhou ShiHaoImproved interactive features for smoother performance2hNoneCollaborate with testing team for validation
Hou JiaAoVerified front-end and back-end integration for all features3hIntegration test highlighted minor issuesWork with all teams to resolve final issues

The general functional module has been realized, and large and small errors have been encountered in the process of realizing the design and coding. Here are some cases:

  1. When realizing the motion trajectory, Tencent map component is loaded in the wechat developer tool, but it cannot be displayed and realized on the interface. The following is the style in the wechat developer tool.

img

Analysis reason: The demo is a simulator, and the position information is not loaded correctly.

Solution:Through the developer tools in the real machine debugging on their own mobile phone.
The effect is as follows

img

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内容概要:本文围绕水陆两栖无人机的任务规划与执行问题,提出了一种基于Matlab实现的智能路径规划解决方案,重点融合粒子群优化算法(PSO)与遗传算法(GA)进行三维环境下的避障路径规划。研究系统性地构建了从复杂地形建模、任务需求分析到算法设计与仿真实验的完整流程,实现了在多约束、动态障碍物等复杂环境下无人机的高效任务调度。通过对GA与PSO两种智能优化算法在路径长度、收敛速度、路径平滑度及稳定性等方面的对比分析,深入探讨了各自在无人机路径规划中的适用场景与性能差异,验证了所提方法在提升任务执行效率与安全性方面的有效性。该方案不仅适用于水陆交互通用场景,也为多模态无人系统自主导航提供了可扩展的技术框架。; 适合人群:具备一定Matlab编程能力和算法基础,从事无人机路径规划、智能优化算法研究、自动化控制或相关领域科研工作的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于水陆两栖无人机在复杂自然环境(如江河湖海与陆地交错区域)中的自主巡航与任务执行;②比较遗传算法与粒子群算法在三维动态路径规划中的优化性能,指导实际工程中算法选型;③为多约束条件下无人系统的自主决策与实时避障提供算法支持与仿真验证平台。; 阅读建议:建议读者结合提供的Matlab代码进行动手实践,重点关注两种算法的数学建模过程、适应度函数设计、参数调优策略及路径生成逻辑,通过仿真实验直观对比算法性能差异,深入理解智能优化算法在复杂路径规划问题中的应用机制与优化潜力。

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