Robotic Vision | Hours: 3 0 3 |
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“Basic image processing techniques , feature detection, feature tracking, camera models, geometry and calibration, geometrical models of single, two, and multiple view systems, 2-D and 3-D vision, estimation of camera and object motion, visual odometry, OpenCV to implement real-time vision algorithms, robot operating system (ROS), simultaneous localization and mapping, motion planning for autonomous vehicles.
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Pre-requisites: none | Co-requisites: none |
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course