Object Recognition and Simultaneous Indoor Localization Algorithm with Stereo Camera
- Resource Type
- Conference
- Authors
- Li, Shuang; Gan, Xingli; Huang, Lu; Zhang, Heng
- Source
- 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) Cloud Computing and Intelligence Systems (CCIS), 2018 5th IEEE International Conference on. :405-409 Nov, 2018
- Subject
- Computing and Processing
Signal Processing and Analysis
Object recognition and simultaneous location
Deep learning
Multi-feature fusion
Stereo matching
Dynamic positioning
- Language
Indoor position technology based on visual becames a hot spot which can provide high position accuracy and more scene information. The system proposed by this paper is operated in real time, robust to severe motion clutter and brightness transformation and low cost which combines several steps include image acquisition and correction, object recognition based on deep learning and stereo matching. And this paper also proposes a new multi-feature fusion feature point extraction and matching algorithm for object accurate location. Finally, we present an evaluation in the dynamic indoor positioning tests and the result of the indoor horizontal positioning error is less than 1m.