A Vision System Based on Neural Network for a Mobile Robot and Statistical Analyses of Its Errors
محل انتشار: دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران
سال انتشار: 1385
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,175
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شناسه ملی سند علمی:
ACCSI12_292
تاریخ نمایه سازی: 23 دی 1386
چکیده مقاله:
This paper is about the vision and odometry errors of a sweeper mobile robot. The robot takes advantage of color recognition in its vision in order to detect different types of objects having different colors. An effective artificial neural network which is extremely easy to implement and is surprisingly quick in practice for mobile robots is introduced. Consequently, the connectionist is applied on the robot for object detection and the gained results are compared with other methods. Also experimental tests plus statistical analyses are carried out in order to measure the robot localization errors.
کلیدواژه ها:
نویسندگان
Korayem
Robotic Research Laboratory, Mechanical Engineering Department Science & Technology University, Narmak, Tehran, Iran
Ehtemam
Robotic Research Laboratory, Mechanical Engineering Department Science & Technology University, Narmak, Tehran, Iran
Azimirad
Robotic Research Laboratory, Mechanical Engineering Department Science & Technology University, Narmak, Tehran, Iran
Sabzevari
Robotic Research Laboratory, Mechanical Engineering Department Science & Technology University, Narmak, Tehran, Iran