Agnostic Lane Detection
Agnostic Lane Detection 翻譯 Abstract 車道檢測既重要又具有挑戰性自動駕駛任務受很多因素的影響因素，例如光線條件，其他因素造成的遮擋車輛，道路上不相關的標記和固有車道的長而細的特性。傳統方法通常將車道檢測視爲語義分割任務，該任務將類別標籤分配給圖像的每個像素。 這種表述在很大程度上取決於以下假設： 車道數量是預先定義和固定的，不會發生車道變化，這並不總是成立。 爲了
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相關文章
- 1. 轉：awesome-lane-detection
- 2. 【翻譯】New Lane Model and Distance Transform for Lane Detection and Tracking
- 3. 3D-LaneNet: End-to-End 3D Multiple Lane Detection
- 4. A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content
- 5. Domain agnostic feature learning
- 6. 【Papers】Robust Lane Detection via Expanded Self Attention 論文解讀
- 7. 車道線-論文閱讀: Learning Lightweight Lane Detection CNNs by Self Attention Distillation
- 8. 【論文筆記】 Towards End-to-End Lane Detection: an Instance SegmentationApproach
- 9. 《Key Points Estimation and Point Instance Segmentation Approach for Lane Detection》翻譯
- 10. 車道線檢測——Efficient Road Lane Marking Detection With Deep Learning