首页|Findings from Chinese Academy of Sciences Yields New Data@@on Robotics (Underwate r Robot Self-localization Method Using@@Tightly Coupled Events, Images, Inertial, and Acoustic Fusion)
Findings from Chinese Academy of Sciences Yields New Data@@on Robotics (Underwate r Robot Self-localization Method Using@@Tightly Coupled Events, Images, Inertial, and Acoustic Fusion)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Atpresent, under water robot self-localization methods mainly rely on inertial measurement unit ( IMU) andDoppler velocity log (DVL) based dead reckoning (DR) and standard camer a-based vision localizationmethods. However, the DR method has the problem of e rror accumulation with the increase of distanceand the standard camera-based vi sion method is difficult to achieve accurate localization due to littleinformat ion and sparse features of standard images in low-light underwater environment.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsChinese Academy of Sciences
NETL
NSTL
