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Underwater object detection by fusing features from different representations of sonar data
《Frontiers of Information Technology & Electronic Engineering》2023年第6期828-843,共16页Fei WANG Wanyu LI Miao LIU Jingchun ZHOU Weishi ZHANG 
supported by the National Natural Science Foundation of China(No.62103072);the Postdoctoral Science Foundation of China(No.2021M690502)。
Modern underwater object detection methods recognize objects from sonar data based on their geometric shapes.However,the distortion of objects during data acquisition and representation is seldom considered.In this pa...
关键词：Underwater object detection Sonar data representation Feature fusion 
A vision-centered multi-sensor fusing approach to self-localization and obstacle perception for robotic cars被引量：5
《Frontiers of Information Technology & Electronic Engineering》2017年第1期122-138,共17页Jian-ru XUE Di WANG Shao-yi DU Di-xiao CUI Yong HUANG Nan-ning ZHENG 
supported by the National Key Program Project of China(No.2016YFB1001004);the National Natural Science Foundation of China(Nos.91320301 and 61273252)
Most state-of-the-art robotic cars＇ perception systems are quite different from the way a human driver understands traffic environments. First, humans assimilate information from the traffic scene mainly through visu...
关键词：Visual perception SELF-LOCALIZATION Mapping Motion planning Robotic car 
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