Evolutionary Utility Prediction Matrix-Based Mission Planning for Unmanned Aerial Vehicles in Complex Urban Environments-Reference-Cited by-同舟云学术

Evolutionary Utility Prediction Matrix-Based Mission Planning for Unmanned Aerial Vehicles in Complex Urban Environments

Author:

Yao Weiran¹^ORCID,Chen Yang²,Fu Jinyu¹^ORCID,Qu Dong³,Wu Chengwei¹^ORCID,Liu Jianxing¹^ORCID,Sun Guanghui¹^ORCID,Xin Liming⁴^ORCID

Affiliation:

1. School of Astronautics, Harbin Institute of Technology, Harbin, China

2. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China

3. School of Artificial Intelligence, Shanghai University, Shanghai, China

4. School of Computer Engineering and Science, Shanghai University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Young Elite Scientist Sponsorship Program

China Association for Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference32 articles.

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