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#slam

4 results
cs.IT2019

3-D Positioning and Environment Mapping for mmWave Communication Systems

Jie Yang, Shi Jin, Chao-Kai Wen +2

The paper develops a 3‑D joint positioning, velocity estimation, and environment mapping (SLAM) framework for millimeter‑wave cloud radio access networks, using hybrid delay‑angle…

#mmwave#localization#slam#wireless networks
cs.RO2019

Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps

Alexander Millane, Helen Oleynikova, Juan Nieto +2

The paper proposes a global localization method for 2D lidar SLAM that uses distance function maps to represent both surface and free-space geometry, introducing a new free-space f…

#place recognition#2d lidar#slam#distance function maps
cs.CV2019

Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space

Xiaochuan Yin, Chengju Liu

The paper presents DFO, a direct feature odometry framework that unsupervisedly learns depth and hierarchical feature representations from monocular video using metric distances an…

#visual odometry#depth estimation#unsupervised learning#monocular video
cs.CV2019

Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM

Bingbing Zhuang, Quoc-Huy Tran, Pan Ji +3

The paper analyzes why self‑calibrating radial distortion from two‑view geometry is ambiguous with scene depth, and introduces a CNN trained on synthetic data to estimate camera in…

#self-calibration#camera intrinsics#radial distortion#slam