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)
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.”
Key words
Heilongjiang/People’s Republic of China/Asia/Computational Intelligence/Machine Learning/Road Conditions/Transport ation/Northeast Forestry University
NETL
NSTL