BirdNet: a 3D Object Detection Framework from LiDAR information
BirdNet 論文解讀 核心思想： Detection Framework: 第一步：將三維點雲信息處理成2D的鳥瞰圖。 第二步：利用處理圖像的卷積神經網絡鳥瞰圖，得到位置，朝向，類別等2D信息。 第三步：進行3D Object Oriented Detection，對高度進行計算。 網絡框架： 第一步：將３維點雲信息投影成3-channel BEV map. 第二步：利用faster-rcnn
相關文章
- 1. 【論文閱讀】【3D目標檢測】BirdNet: a 3D Object Detection Framework from LiDAR Information
- 2. 論文筆記：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
- 3. LiDAR 3D Object Detetcion
- 4. 【3D 目標檢測】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
- 5. CVPR2018_Frustum PointNets for 3D Object Detection from RGB-D Data
- 6. Viola–Jones object detection framework--Rapid Object Detection using a Boosted Cascade of Simple Fea
- 7. Vehicle Detection from 3D Lidar Using Fully Convolutional Network解析(3D-CNN模型)
- 8. PIXOR Real-time 3D Object Detection from Point Clouds
- 9. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 10. Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
- 更多相關文章...
- • XSL-FO instream-foreign-object 對象 - XSL-FO 教程
- • Maven 項目模板 - Maven教程
- • 爲了進字節跳動，我精選了29道Java經典算法題，帶詳細講解
- • 互聯網組織的未來：剖析GitHub員工的任性之源
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 【論文閱讀】【3D目標檢測】BirdNet: a 3D Object Detection Framework from LiDAR Information
- 2. 論文筆記：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
- 3. LiDAR 3D Object Detetcion
- 4. 【3D 目標檢測】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
- 5. CVPR2018_Frustum PointNets for 3D Object Detection from RGB-D Data
- 6. Viola–Jones object detection framework--Rapid Object Detection using a Boosted Cascade of Simple Fea
- 7. Vehicle Detection from 3D Lidar Using Fully Convolutional Network解析(3D-CNN模型)
- 8. PIXOR Real-time 3D Object Detection from Point Clouds
- 9. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 10. Triangulation Learning Network: from Monocular to Stereo 3D Object Detection