CMSC389M

Special Topics in Computer Science; SLAM: Why Robots Don't Crash

Students will be provided with a practical and lightly theoretical understanding of the most popular algorithms that solve the Simultaneous Localization and Mapping (SLAM) problem to enable self driving car technology. An emphasis will be placed on the probabilistic methods that underpin the SLAM problem.

Sister Courses: CMSC389A, CMSC389B, CMSC389C, CMSC389E, CMSC389F, CMSC389G, CMSC389I, CMSC389J, CMSC389K, CMSC389L, CMSC389N, CMSC389O, CMSC389P, CMSC389Q, CMSC389R, CMSC389T, CMSC389U, CMSC389V, CMSC389W, CMSC389Y, CMSC389Z

Past Semesters

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