Sebastian Wandelt
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低空经济与城市空中出行

现代计算机科学和人工智能可通过实时数据分析和智能路径规划,优化低空飞行器的航线和调度,提高空中交通效率。机器学习算法能预测天气和空域拥堵,确保飞行安全。自动化控制系统结合物联网技术,实现无人机和电动垂直起降飞机的协同管理,降低运营成本,推动城市空中出行的可持续发展。

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Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

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School/Department:电子信息工程学院

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Contact Information:82338306

Degree:Doctoral degree

Status:Employed

Alma Mater:汉堡工业大学

Discipline:Computer Science and Technology
Transportation Engineering

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