首页|Reports Summarize Robotics Findings from Brigham Young University(Group-k Consi stent Measurement Set Maximization Via Maximum Clique Over k-uniform Hypergraphs for Robust Multi-robot Map Merging)
Reports Summarize Robotics Findings from Brigham Young University(Group-k Consi stent Measurement Set Maximization Via Maximum Clique Over k-uniform Hypergraphs for Robust Multi-robot Map Merging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting outof Provo, Utah, by NewsRx editors, rese arch stated, “This paper unifies the theory of consistent-setmaximization for r obust outlier detection in a simultaneous localization and mapping framework. We firstdescribe the notion of pairwise consistency before discussing how a consi stency graph can be formed byevaluating pairs of measurements for consistency.”
ProvoUtahUnited StatesNorth and Ce ntral AmericaEmerging TechnologiesMachine LearningRobotRoboticsBrigham Young University
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