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Apr 18, 2024
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2020-2021 Graduate Catalog [ARCHIVED CATALOG]
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MEEG 877 - Sensing and Estimation in RoboticsCredit(s): 3
ESTIMATION II
Component: Lecture
Consists of two main parts: (i) advanced nonlinear state estimatmion such as extended Kalman filtering, particle filtering, and (ii) sensor modeling and fusion. This course emphasizes the application of estimation theory to mobile robot motion estimation (odometry, inertial,laser scan matching, vision-based) and path planning, map representations, map-based localization, simultaneous localization/mapping (SLAM), and multi-robot cooperative navigation.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: MEEG 677 .
Course Typically Offered: Fall and Spring
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