Navigation path extraction for garden mobile robot based on road median point

Extracting navigation paths is the key to autonomous navigation of garden mobile robots. Bottlenecks such as lack of reliability under high dynamic interference and difficulty in eliminating error interference have limited the large-scale industrialized implementation of garden mobile robots, which...

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Vydané v:EURASIP journal on advances in signal processing Ročník 2025; číslo 1; s. 6 - 21
Hlavný autor: Li, Wei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.12.2025
Springer
Springer Nature B.V
SpringerOpen
Predmet:
Accuracy
Autonomous navigation
Edge detection
Electronics in navigation
Engineering
Garden mobile robot
Jamming
Machine learning
Navigation path
Navigation systems
Quantum Information Technology
Reliability
Road median point
Roads & highways
Robotics industry
Robots
Signal,Image and Speech Processing
Spintronics
Navigation path
Garden mobile robot
Autonomous navigation
Road median point
Edge detection
ISSN:1687-6180, 1687-6172, 1687-6180
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Shrnutí:Extracting navigation paths is the key to autonomous navigation of garden mobile robots. Bottlenecks such as lack of reliability under high dynamic interference and difficulty in eliminating error interference have limited the large-scale industrialized implementation of garden mobile robots, which are directly related to the accuracy, reliability and safety of the navigation system. In order to cope with these challenges, this paper proposes a navigation path extraction method for garden mobile robots based on road median points. After semantic level perception of the scene in this paper, the 1920 × 360 pixel region at the bottom of the image is taken as region of interest. Then, an edge detection method is proposed as a basis to locate the road median point, and discrete navigation point prediction by machine learning. The anti-interference detection strategy of “local + global” two-stage joint elimination of interference points is adopted to avoid the accuracy of the fitted path due to severe interference. Combined with the idea of “turning curves into straights”, the navigation paths are fitted. The experimental results show that the proposed navigation path extraction method has stronger adaptive ability, higher anti-jamming ability and accuracy, which makes the method more attractive for practical use.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/s13634-025-01209-8