首页|Study Findings from Fuzhou University Provide New Insights into Robotics and Aut omation (Rtonet: Real-time Occupancy Network for Semantic Scene Completion)
Study Findings from Fuzhou University Provide New Insights into Robotics and Aut omation (Rtonet: Real-time Occupancy Network for Semantic Scene Completion)
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Current study results on Robotics-Ro botics and Automation have been published. According to news originating from Fu zhou, People's Republic of China, by NewsRx correspondents, research stated, "Th e comprehension of 3D semantic scenes holds paramount significance in autonomous driving and robotics technology. Nevertheless, the simultaneous achievement of real-time processing and high precision in complex, expansive outdoor environmen ts poses a formidable challenge." Funders for this research include National Natural Science Foundation of China ( NSFC), Major Science and Technology Program of Fujian Province, Foundation of Fu jian Province. Our news journalists obtained a quote from the research from Fuzhou University, "In response to this challenge, we propose a novel occupancy network named RTONe t, which is built on a teacher-student model. To enhance the ability of the netw ork to recognize various objects, the decoder incorporates dilated convolution l ayers with different receptive fields and utilizes a multi-path structure. Furth ermore, we develop an automatic frame selection algorithm to augment the guidanc e capability of the teacher network."
FuzhouPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsFuzhou University
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