Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
摘抄自：http://mp.weixin.qq.com/s/YG5WcKejUi9QlQfjJQZ96w 摘要 本文通過提供有關自動駕駛計算機視覺這一主題的最新調查。調查既包括最爲相關的歷史資料，也包括識別、重建、運動估測、追蹤、場景理解以及端到端學習等當前最先進的專業主題。爲了完成這一目標，首先通過分類學對每個方法進行分類，接着在 KITTI、ISPRS、MOT 和 Cityscapes 等若干
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- 1. 論文翻譯《Computer Vision for Autonomous Vehicles Problems, Datasets and State-of-the-Art》(第八章）
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相關文章
- 1. 論文翻譯《Computer Vision for Autonomous Vehicles Problems, Datasets and State-of-the-Art》(第八章）
- 2. 論文翻譯《Computer Vision for Autonomous Vehicles Problems, Datasets and State-of-the-Art》(第九章）
- 3. 論文翻譯《Computer Vision for Autonomous Vehicles Problems, Datasets and State-of-the-Art》(第十、十一、十二章）
- 4. Federated Learning for Vision-and-Language Grounding Problems
- 5. ISP Pipeline for Computer Vision
- 6. Inception Architecture for Computer Vision
- 7. Deep Learning for Computer Vision with Python.
- 8. PIXHAWK: A System for Autonomous Flight using Onboard Computer Vision 總結
- 9. Gabor filter for image processing and computer vision
- 10. Computer Vision | Clustering Basics