A Deep Learning Approach for Localization Systems of High-Speed Objects
This paper addresses a novel deep learning technique for localization systems of high-speed mobile objects such as autonomous vehicles. The presented localization method consists of rough and fine localizations. The rough localization exploits the modified Kalman filtering, which produces the rough...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8765304/ |