首页|Investigators at Southern University of Science and Technology (SUSTech) Describ e Findings in Intelligent Vehicles (Igicp: Intensity and Geometry Enhanced Lidar Odometry)
Investigators at Southern University of Science and Technology (SUSTech) Describ e Findings in Intelligent Vehicles (Igicp: Intensity and Geometry Enhanced Lidar Odometry)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Transportation - Intelligent Vehi cles is the subject of a report. According tonews reporting from Shenzhen, Peop le’s Republic of China, by NewsRx journalists, research stated, “Pointmatching and pose optimization are two important processes in LiDAR odometry. The former one is proneto noise and initial pose estimation, while the latter often falls into local minima due to improper matchedpoints.”
ShenzhenPeople’s Republic of ChinaAs iaIntelligent VehiclesTransportationSouthern University of Science and Tec hnology (SUSTech)
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