Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety
简介：
这本开放获取的书汇集了行业的最新发展以及自动驾驶和人工智能的研究。它结合了学术界和工业界的观点，计算机视觉和机器学习满足了高度自动化驾驶的环境感知。
英文简介：
This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence.
It unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving.
- 书名
- Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety
- 译名
- 自动驾驶的深度神经网络和数据：稳健性、不确定性量化和安全洞察
- 语言
- 英语
- 年份
- 2022
- 页数
- 435页
- 大小
- 11.87 MB
- 下载
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety.pdf- 密码
- 65536
最后更新：2025-04-12 23:58:06
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