摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于机器人-机器人和自动化的新报告。根据NewsRx编辑对新加坡外的新闻报道说,“图像到点云”(I2P)识别是机器人和自主车辆获取cros s模态数据的基础任务融合和定位。目前的I2P配准方法主要集中在匹配估计上在点或像素水平上,通常为负CTING全局对齐。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting out of Singapore, Singapore, by NewsRx editors, research stated, “Image-to-point cloud(I2P) regis tration is a fundamental task for robots and autonomous vehicles to achieve cros s-modality datafusion and localization. Current I2P registration methods primar ily focus on estimating correspondencesat the point or pixel level, often negle cting global alignment.”