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KAIST Researchers Introduce Quatro++: A Robust Global Registration Framework Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM

RoboticsMarch 31, 2024182Views0Likes0Comments
The problem of sparsity and degeneracy issues in LiDAR SLAM has been addressed by introducing Quatro++, a robust global registration framework developed by researchers from the KAIST. This method has surpassed previous success rates and improved loop closing accuracy and efficiency through ground segmentation. Quatro++ exhibits significantly superior loop closing performance, resulting in higher quality…

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How Enterprises Are Leveraging Generative AI for Innovation and Growth | by Ashely John | Mar, 2024

Human AiMarch 27, 2024158Views0Likes0Comments
Entrepreneurs are always looking for new and creative ways to keep ahead of the competition in the advancement of AI technology. One such innovative technique that has attracted a lot of interest is called generative artificial intelligence (also known as generative AI). Beyond conventional problem-solving, this revolutionary area of AI is increasingly propelling innovation and…

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MathVerse: An All-Around Visual Math Benchmark Designed for an Equitable and In-Depth Evaluation of Multi-modal Large Language Models (MLLMs)

AI NewsMarch 26, 2024125Views0Likes0Comments
The performance of multimodal large Language Models (MLLMs) in visual situations has been exceptional, gaining unmatched attention. However, their ability to solve visual math problems must still be fully assessed and comprehended. For this reason, mathematics often presents challenges in understanding complex concepts and interpreting the visual information crucial for solving problems. In educational contexts…

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