China Jiliang University

Zai Luo

Li Yang

Jie Zhu

Yaxiong He

Wensong Jiang

Dian Bian

Minyue Li

Yaru Li

Linzhen Shi

An autonomous environmental perception, path planning and dynamic landing method includes: obtaining three-dimensional environment information in real time; determining a global starting point and a global end point, and generating an initial path; optimizing the initial path based on a local path optimization algorithm to obtain a first optimized path; when a perception threshold of the current position of the unmanned aerial vehicle is greater than a preset threshold, optimizing the initial path based on a frontier-perceived path optimization method to obtain a second optimized path and a local end point; when the unmanned aerial vehicle advances to the local end point, switching to optimizing the initial path in real time based on the local path optimization algorithm; and when the unmanned aerial vehicle arrives at the global end point, carrying out dynamic landing based on a deep reinforcement learning algorithm.

Autonomous environmental perception, path planning and dynamic landing method and system of unmanned aerial vehicle

Growing community of inventors

Hangzhou, China

Zai Luo