| 深度学习在无人驾驶汽车领域应用的研究进展 |
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| 引用本文： | 王科俊,赵彦东,邢向磊. 深度学习在无人驾驶汽车领域应用的研究进展[J]. 智能系统学报, 2018, 13(1): 55-69. DOI: 10.11992/tis.201609029 |
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| 作者姓名： | 王科俊 赵彦东 邢向磊 |
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| 作者单位： | 哈尔滨工程大学 自动化学院, 黑龙江 哈尔滨 150001 |
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| 摘 要： | 首先阐述了汽车界对无人驾驶的定义，然后详细分析了国内外无人驾驶汽车的发展历史以及各车企和互联网公司的研究现状。通过详细分析无人驾驶汽车工作原理、体系架构设计以及具体实现方法，简单说明了目前无人驾驶汽车遇到的关键问题和难题，同时重点描述了目前深度学习在图像处理方面的突破性进展以及在无人驾驶汽车领域的应用实践，最后对无人驾驶的未来发展做了展望。
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| 关 键 词： | 无人驾驶 图像处理 深度学习 卷积神经网络 计算机视觉 |
Deep learning in driverless vehicles |
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| WANG Kejun,ZHAO Yandong,XING Xianglei. Deep learning in driverless vehicles[J]. CAAL Transactions on Intelligent Systems, 2018, 13(1): 55-69. DOI: 10.11992/tis.201609029 |
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| Authors: | WANG Kejun ZHAO Yandong XING Xianglei |
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| Affiliation: | School of Automation, Harbin Engineering University, Harbin 150001, China |
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| Abstract: | In this paper, we first define the unmanned vehicle and analyze the current technology and key problems of driverless vehicles.Then, we discuss the principles and architectural design of driverless cars and identify their key problems. Lastly, we describe the development of deep learning with respect to image processing, discuss the application of deep learning to driverless vehicles, and consider the future of driverless vehicles. |
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| Keywords: | driverless vehicles image processing deep learning convolutional Neural Networks computer Vision |
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