首页|South China Agricultural University Researcher Highlights Research in Robotics ( Visual Navigation of Caged Chicken Coop Inspection Robot Based on Road Features)
South China Agricultural University Researcher Highlights Research in Robotics ( Visual Navigation of Caged Chicken Coop Inspection Robot Based on Road Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting originating from Guangzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “The speed and accuracy o f navigation road extraction and driving stability affect the inspection accurac y of cage chicken coop inspection robots.” Funders for this research include Guangdong Chaozhou Science And Technology Plan ning Project; State Key Laboratory of Swine And Poultry Breeding Industry (Pi) R esearch Project; Guangdong Province Special Fund For Modern Agricultural Industr y Common Key Technology R&D Innovation Team. Our news reporters obtained a quote from the research from South China Agricultu ral University: “In this paper, a new grayscale factor (4B-3R-2G) was proposed t o achieve fast and accurate road extraction, and a navigation line fitting algor ithm based on the road boundary features was proposed to improve the stability o f the algorithm. The proposed grayscale factor achieved 92.918% se gmentation accuracy, and the speed was six times faster than the deep learning m odel. The experimental results showed that at the speed of 0.348 m/s, the maximu m deviation of the visual navigation was 4 cm, the average deviation was 1.561 c m, the maximum acceleration was 1.122 m/s2, and the average acceleration was 0.2 92 m/s2, with the detection number and accuracy increased by 21.125% and 1.228%, respectively.”
South China Agricultural UniversityGua ngzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine Learnin gRobotRobotics
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