论文信息 - Loop Closure Detection Based on Multi-Scale Deep Feature Fusion - 字舞流文

Loop Closure Detection Based on Multi-Scale Deep Feature Fusion

Baifan Chen | Chunfa Liu | Qian Wu | Dian Yuan | Baifan Chen | D. Yuan | Chunfang Liu | Qian Wu

[1] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[2] Vincent Lepetit,et al. BRIEF: Computing a Local Binary Descriptor Very Fast , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3] Winston Churchill,et al. Experience-based navigation for long-term localisation , 2013, Int. J. Robotics Res..

[4] Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.

[5] Paul Newman,et al. Scene Signatures: Localised and Point-less Features for Localisation , 2014, Robotics: Science and Systems.

[6] Antonio Torralba,et al. Building the gist of a scene: the role of global image features in recognition. , 2006, Progress in brain research.

[7] Tao Zhang,et al. Unsupervised learning to detect loops using deep neural networks for visual SLAM system , 2017, Auton. Robots.

[8] Gordon Wyeth,et al. CAT-SLAM: probabilistic localisation and mapping using a continuous appearance-based trajectory , 2012, Int. J. Robotics Res..