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Simon D. Levy

Computer Science Department, Washington and Lee University

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  • The Robots
  • The Truth About AI
  • Kalman Filter Interactive Tutorial
    • Part 2: Dealing with Noise
    • Part 3: Putting it Together
    • Part 4: State Estimation
    • Part 5: Computing the Gain
    • Part 6: Prediction and Update
    • Part 7: Running the Filter
    • Part 8: A More Realistic Model
    • Part 9: Modifying the Estimates
    • Part 10: Adding Velocity to the System
    • Part 11: Linear Algebra
    • Part 12: Prediction and Update Revisited
    • Part 13: Sensor Fusion Intro
    • Part 14: Sensor Fusion Example
    • Part 15: Nonlinearity
    • Part 16: Dealing with Nonlinearity
    • Part 17: A Nonlinear Kalman Filter
    • Part 18: Computing the Derivative
    • Part 19: The Jacobian
    • Part 20: TinyEKF
    • PDF of all parts
  • Robot Maze

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Professor
Computer Science Department
Parmly Hall (Science Center) 407B
Washington and Lee University
Lexington, Virginia

Affiliate, W&L Neuroscience Program

Current Courses:

CSCI 111 Fundamentals of Programming I

CSCI 313 Theory of Computation

Contact:

simon.d.levy@gmail.com
540-458-8255 (fax)

Simon D. Levy
Computer Science Department
407 Parmly Hall
Washington & Lee University
Lexington, Virginia 24450

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