摘要
由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于机器人-机器人和自动化的新报告。根据NewsRx记者来自中国杭春的新闻报道，研究表明：“精确和稳健的外部参数校准是LIDAR-CA MERA多模态传感应用的基础，但现有的方法大多假设传感器具有相同的方向，限制了它们在多角度传感场景中从不同角度进行特征提取和特征对准的有效性。”本研究经费来源于吉林省科技发展项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting originating from C hangchun, People’s Republic of China, by NewsRx correspondents, research stated, “Precise and robust extrinsic parameter calibration is fundamental for LiDAR-ca mera multi-modal sensing applications. However, most existing methods assume tha t sensors have the same orientation, limiting their effectiveness in feature ext raction and feature alignment from different angle of view in multi-angle sensin g scenarios.” Financial support for this research came from Science and Technology Development Project of Jilin Province.
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