《Vision based autonomous driving - A survey of recent methods》讀書筆記
原文鏈接：Vision based autonomous driving - A survey of recent methods 他山之石：【泡泡機器人新聞社】Vision based autonomous driving - A survey 基於視覺的自動駕駛有三種主要的方法： 使用迴歸模型直接將輸入的圖像映射成駕駛行爲 將輸入圖像映射到一些關鍵變量，並使用該信息指導自動駕駛 分析整個場景，
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相關文章
- 1. Pillar-based Object Detection for Autonomous Driving
- 2. 【論文閱讀】A survey of deep learning techniques for autonomous driving
- 3. Deep Multimodal Learning A survey on recent advances and trends讀書筆記
- 4. 解讀ECCV2020：Pillar-based Object Detection for Autonomous Driving
- 5. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
- 6. 自動駕駛文獻學習《A Survey of Autonomous Driving: Common Practices and Emerging Technologies》
- 7. CV：翻譯並解讀2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
- 8. [論文筆記] 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 的讀書筆記