REAL-TIME SEMANTIC SLAM WITH DCNN-BASED FEATURE POINT DETECTION, MATCHING AND DENSE POINT CLOUD AGGREGATION
In this paper we present the semantic SLAM method based on a bundle of deep convolutional neural networks. It provides real-time dense semantic scene reconstruction for the autonomous driving system of an off-road robotic vehicle. Most state-of-the-art neural networks require large computing resourc...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/399/2021/isprs-archives-XLIII-B2-2021-399-2021.pdf |