Semantic 3D Scene Classification Based on Holoscopic 3D Camera for Autonomous Vehicles
| Autor: | Hongying Meng, Chuqi Cao, Mohammad Rafiq Swash |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
2d images
scene classification perception system Computer science Aperture business.industry Deep learning autonomous vehicle ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION deep learning Perception system artificial intelligence 3d image holoscopic 3D image 3d camera Computer vision Artificial intelligence business 3D image |
| Zdroj: | The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery ICNC-FSKD 2020 Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery ISBN: 9783030706647 |
| Popis: | An autonomous vehicle navigates by perceiving the environment through the sensors and acting on the received data by making sense of the surroundings. In this paper, innovative holoscopic 3D scene classification based on the single aperture holoscopic 3D camera is proposed to recognise continuous 3D scene of environment. The deep learning network AlexNet is used to evaluate the proposed approach, and the outcome exhibits promising results compared to 2D images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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