首页|New Findings on Robotics and Automation from Beijing Institute of Technology Sum marized (Goreloc: Graph-based Object-level Relocalization for Visual Slam)
New Findings on Robotics and Automation from Beijing Institute of Technology Sum marized (Goreloc: Graph-based Object-level Relocalization for Visual Slam)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s-Robotics and Automation. According to news originating from Beijing, People' s Republic of China, by NewsRx correspondents, research stated, "This letter int roduces a novel method for object-level relocalization of robotic systems. It de termines the pose of a camera sensor by robustly associating the object detectio ns in the current frame with 3D objects in a lightweight object-level map." Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the Beijing Institu te of Technology, "Object graphs, considering semantic uncertainties, are constr ucted for both the incoming camera frame and the pre-built map. Objects are repr esented as graph nodes, and each node employs unique semantic descriptors based on our devised graph kernels. We extract a subgraph from the target map graph by identifying potential object associations for each object detection, then refin e these associations and pose estimations using a RANSAC-inspired strategy."
BeijingPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsBeijing Institute of Technology
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