"An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned ..."

Ya-Hong Zhao et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3627341.3630400

access: closed

type: Conference or Workshop Paper

metadata version: 2025-01-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iccvit/ZhaoLLZ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccvit/ZhaoLLZ23
Ya-Hong Zhao, Yulin Lan, Shanglin Li, Wenfen Zhang:
An Empirical Study on Genetic Algorithm for 2D Path Planning of Unmanned Aerial Vehicles with Obstacle Avoidance. ICCVIT 2023: 12:1-12:6

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.