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Drone vision slam method based on GPU acceleration

机译:基于GPU加速的无人驾驶态度

摘要

Problem to be solved: to provide a drone vision Slam (simple localization and mapping) method reducing the volume, power consumption and calculation time of the on-board processing system based on GPU acceleration.Drone vision slam methodCamera image information is read and preprocessed.Feature extraction and feature matching of camera imagesIncluding pose estimation by ICP algorithmPerform a front-end task that estimates the pose by the feature point methodBackend optimization based on graph optimizationPerform backend optimization to optimize postureBag of word loop back detectionPose and optimize the attitude graph.Feature extraction and feature matching of camera image are the following steps.Diagram
机译:要解决的问题:提供一种无人机视觉SLAM(简单的定位和映射)方法,降低基于GPU加速的板载处理系统的体积,功耗和计算时间。无人机Vision Slam MetholyCamera图像信息被读取和预处理。摄像机图像的提取和特征匹配通过ICP almorithmperform估算的前端任务是基于图优化的特征点方法返校优化来估计姿势,优化Word的邮政邮件循环回检测和优化姿态图。摄像机图像的特征提取和特征匹配是以下步骤.diagram

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