RO-DSxCase-Study-5.2
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sh-1993
说明： 编程背景。我们建议计划在1到3个小时之间。记住，这是一个可选的活动...
(Case Study 5.2.1: Kalman Constant Velocity 2D Instructor: Guy Bresler Activity Type: Optional Case Study Description: Generate data, build the model for the motion dynamics, perform the Kalman Filtering algorithm. Kalman Filtering: Tracking the 2D Position of an Object when moving with Constant Velocity Why this Case Study? Build your own)
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Case Study 5.2.1 Kalman Constant Velocity 2D.ipynb (117582, 2020-06-05)
# MIT-xPRO-DSxCase-Study-5.2.1---Kalman-Constant-Velocity
Case Study 5.2.1: Kalman Constant Velocity 2D Instructor: Guy Bresler Activity Type: Optional Case Study Description: Generate data, build the model for the motion dynamics, perform the Kalman Filtering algorithm. Kalman Filtering: Tracking the 2D Position of an Object when moving with Constant Velocity Why this Case Study? Build your own implementation of the Kalman Filter on a simple example which can help you understand the building blocks of the GPS system. Self-Help Documentation: In this document, we walk through some helpful tips to get you started with tracking the state of an object moving with a constant velocity using Kalman Filtering when we have noisy measurements of its velocity in 2 dimensions. In this tutorial, we provide examples and some pseudo-code for the following programming environment: Python. Download Self-Help Documentation Kalman-Constant-Velocity-Case-Study-Package.zip Time Required: The time required to do this activity varies depending on your experience in the required programming background. We suggest planning somewhere between 1 & 3 hours. Remember, this is an optional activity for participants looking for hands-on experience.
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