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SUFLECA achieves a remarkable 33.4% category accuracy and 42.3% instance accuracy in CAD-to-image alignment, outpacing traditional methods while cutting down computational costs.
Autonomous drones can now navigate race courses with significantly improved accuracy thanks to a novel dual pose-graph SLAM architecture that fuses visual and semantic information.
