A 3D LiDAR Data-Based Dedicated Road Boundary Detection Algorithm for Autonomous Vehicles
文章目錄 1. 文章主要工作 2. 點雲預處理 3. 地面點雲的提取 4. 道路邊界點特徵選擇 5. 道路邊界點的搜索 6. 道路邊界擬合 7. 實驗結果 7.1. 驗證算法的有效性 7.2. 定量分析算法的性能 8. 總結 1. 文章主要工作 從三維激光雷達數據中精確地提取不規則的道路邊界或道路上被障礙物遮擋的道路邊界. 算法步驟如下： (1) 利用GNSS提供的車輛位置和姿態信息，對三維激光雷
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相關文章
- 1. 【3D 目標檢測】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
- 2. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
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- 8. 每天一篇論文 373/1000 PSEUDO-LIDAR++:ACCURATE DEPTH FOR 3D OBJECT DETECTION IN AUTONOMOUS DRIVING
- 9. 論文閱讀：A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles
- 10. MV3D：Multi-View 3D Object Detection Network for Autonomous Driving（翻譯）