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Princeton365 dataset released with novel camera pose evaluation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced Princeton365, a new dataset featuring 365 videos with precise camera pose information. This dataset aims to improve SLAM benchmarks by balancing data diversity with accuracy, utilizing a novel collection framework with calibration boards and a 360-degree camera. Princeton365 includes synchronized RGB and IMU data for indoor, outdoor, and object scanning scenarios. Additionally, a new scene scale-aware evaluation metric is proposed to better compare SLAM method performance across different scenes and identify failure modes. AI

RANK_REASON This is a research paper introducing a new dataset and evaluation metric for SLAM. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain, Yiming Zuo, Erich Liang, Jia Deng ·

    Princeton365: A Diverse Dataset with Accurate Camera Pose

    arXiv:2506.09035v2 Announce Type: replace Abstract: We introduce Princeton365, a large-scale diverse dataset of 365 videos with accurate camera pose. Our dataset bridges the gap between accuracy and data diversity in current SLAM benchmarks by introducing a novel ground truth col…

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