首页|New Computational Intelligence Study Results Reported from Northeast Forestry Un iversity (The Segmentation Method of RoadSurface Covering Objects Based On Cbam Unet Plus)
New Computational Intelligence Study Results Reported from Northeast Forestry Un iversity (The Segmentation Method of RoadSurface Covering Objects Based On Cbam Unet Plus)
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 – Data detailed on Machine Learning - Computational Intelligence have been presented. Accordingto news reporting from Heilongjiang , People’s Republic of China, by NewsRx journalists, research stated,“Dangerous road surface covering objects such as wet slippery, ice and snow will directly affect the safetyperformance. Therefore, the detection and visualization of roa d surface covering objects’ status undercomplex weather and road conditions are of great significance to the safety of human driving and unmanneddriving.”
HeilongjiangPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningRoad ConditionsTransport ationNortheast Forestry University
NETL
NSTL
