《Vision based autonomous driving - A survey of recent methods》读书笔记

时间 2020-12-24

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原文链接：Vision based autonomous driving - A survey of recent methods 他山之石：【泡泡机器人新闻社】Vision based autonomous driving - A survey 基于视觉的自动驾驶有三种主要的方法：使用回归模型直接将输入的图像映射成驾驶行为将输入图像映射到一些关键变量，并使用该信息指导自动驾驶分析整个场景，

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1. Pillar-based Object Detection for Autonomous Driving
2. 【论文阅读】A survey of deep learning techniques for autonomous driving
3. Deep Multimodal Learning A survey on recent advances and trends读书笔记
4. 解读ECCV2020：Pillar-based Object Detection for Autonomous Driving
5. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
6. 自动驾驶文献学习《A Survey of Autonomous Driving: Common Practices and Emerging Technologies》
7. CV：翻译并解读2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
8. [论文笔记] Enhancements of V2X Communication in Support of Cooperative Autonomous Driving
9. A Survey of Few-Shot Learing | Data
10. a survey of traffic data visualization 的读书笔记

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