چکیده مقاله
Machine vision is a field of artificial intelligence thatgenerally enables computers to understand the dynamics andpower of visual analysis of the humankind By using algorithmsand techniques in machine vision, the machines are able torecognize and identify patterns and different features of imagesand videos This technology is used in various fields such as facerecognition, medical image analysis, traffic detection and even inself driving cars Nowadays, it is widely used in the automotiveindustry, notably in self driving cars By collecting and processingvision data, self driving cars have the ability to detect obstaclesaround them, identify road signs, and even anticipate ahead Thistechnology enhances the security as well as the functionalcapabilities of the cars and allows them to move on the roadsautomatically, without human intervention The purpose of thisresearch is to investigate how machine vision is used in self drivingcars and how its performance can be evaluated We exploreadvanced machine vision methods in self driving cars and evaluatetheir performance and efficiency in different conditions As a casestudy, we go through the California and US Self Driving VehicleCrash Statistics as well as Traffic Safety Administration data to getinspired how machine vision in self driving cars has affected thecommunity so far With regard to that, we analyze two self drivingcar accident statistics reported in USA
کلیدواژهها
نویسندگان
شیوه ارجاع
Dashtzadeh, Mina and Fahimi, Hamed,1402,A survey on machine vision in self-driving cars with a case study over recent crash statistics in USA,2nd International Conference and 7th National Conference on Computers, information technology and applications of artificial intelligence,Ahvaz
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی و هشتمین کنفرانس ملی کامپیوتر، فناوری اطلاعات و کاربردهای هوش مصنوعی30 بهمن 1403 · اهواز