Obstacle Recognition and Path Planning of UAV Flight

Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the algorithm detects the category information of obstacles. Based on the construction of indoor 3D maps, the TSP algorithm is used to detect obstacles....

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2021 6th International Conference on Control, Robotics and Cybernetics (CRC) s. 225 - 229
Hlavný autor: Zhang, Zhenwei
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 09.10.2021
Predmet:
Analytical models
Classification algorithms
Collision avoidance
Mathematical models
object recognition algorithm
Path planning
Robots
Three-dimensional displays
TSP algorithm
UAV
YOLO algorithm
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the algorithm detects the category information of obstacles. Based on the construction of indoor 3D maps, the TSP algorithm is used to detect obstacles. Research on the path planning of man-machines, establish the control mathematical model of obstacle avoidance flight under hypothetical scenarios, and obtain the best flight path through simulation analysis and comparison.
DOI:10.1109/CRC52766.2021.9620154