LLM Consensus Matches or Outperforms the Best AI Models in Expert Evaluation Without Performance Degradation

According to the results, the system matches or outperforms the best individual AI model across all evaluated questions, achieving measurable improvement in 44.9% of cases and with no instances of ...
IEEE

An Efficient Multi-Estimation-Based Parameter Centroid Decision Via Linear Regression Approach

Abstract: We propose a novel post-processing approach for the local optimization of Locally Optimized RANdom SAmple Consensus (LO-RANSAC), called the Multi-Estimation-based Parameter Centroid (MEPC) ...
IEEE

IcoTag3D: Enhanced 6-DoF Pose Estimation for Robotic Arms Using TriangleTag Markers on an Icosahedron

Abstract: High-precision pose estimation using fiducial markers has many applications in medical device tracking, virtual reality alignment, navigation, and more. However, the accuracy of pose ...