Object Clustering With Dirichlet Process Mixture Model for Data Association in Monocular SLAM
Author:
Affiliation:
1. Robotics and Microsystems Center, School of Mechanical and Electric Engineering, Soochow University, Suzhou, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9866919/09700775.pdf?arnumber=9700775
Reference32 articles.
1. A benchmark for the evaluation of RGB-D SLAM systems
2. Are we ready for autonomous driving? The KITTI vision benchmark suite
3. Recovering Stable Scale in Monocular SLAM Using Object-Supplemented Bundle Adjustment
4. Monocular SLAM Supported Object Recognition
5. Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial
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