CSCI5552: Sensing and Estimation in Robotics

3 Credits

Bayesian estimation, maximum likelihood estimation, Kalman filtering, particle filtering. Sensor modeling and fusion. Mobile robot motion estimation (odometry, inertial,laser scan matching, vision-based) and path planning. Map representations, landmark-based localization, Markov localization, simultaneous localization/mapping (SLAM), multi-robot localization/mapping.prereq: [5551, Stat 3021] or instr consent

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All Instructors

A- Average (3.626)Most Common: A (49%)

This total also includes data from semesters with unknown instructors.

136 students
SWFDCBA
  • 3.84

    /5

    Recommend
  • 3.91

    /5

    Effort
  • 4.25

    /5

    Understanding
  • 4.23

    /5

    Interesting
  • 4.05

    /5

    Activities


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