2.166 Lectures and Activity Plan
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things to be fixed by the duckietown teamhomework dueholidays
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DaysLecture/LabsTimewhereIDThemeTopiclecturerlecturer confirms presenceDue from the studentsMIT calendar eventsModules
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Starting slow (no child left behind)Feb 3 (Wed)Feb 3 (Wed)3:00 PM35-308C01_introPrerequisitesPrerequisites (if you don't know this, leave this room and go to RSS 1)ACyes
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logisticsLP
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High-level overview
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admissions
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Feb 4 (Thu)Feb 4 (Thu)Thu night - admission decisions
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Feb 5 (Fri)
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Feb 6 (Sat)
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Feb 7 (Sun)
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Feb 8 (Mon)Feb 8 (Mon)3:00 PM35-308C02_teammeet the teamJLyes
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Feb 9 (Tue)HAyes
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CCyes
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JAMyes
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MNyes
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LCyes
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?10:00 AMBeaverworks03-L01-BCBC prepssh, consoles, etc.ACyes
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signing up for gitACyes
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Feb 10 (Wed)Feb 10 (Wed)3:00 PM35-308C03_hiresintroductionsstudent introductionsACyes
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Hardware robot presentationAC, MN?yes
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Feb 11 (Thu)Feb 11 (Thu)
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Feb 12 (Fri)Feb 12 (Fri)10:00 AMBeaverworksL01_*duckieboxes distributionACyes
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Feb 13 (Sat)Setup software and hardware, gitSYyes
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Feb 14 (Sun)
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PizzaSocial activity - meet your colleagues and the mentors
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Feb 15 (Mon)Presidents day - holiday
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Feb 16 (Tue)Feb 16 (Tue)3:00 PM35-308L02_RCRC lab introACyes
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Feb 17 (Wed)Feb 17 (Wed)3:00 PM35-308C04_architecturessoftware architecture (ROS lecture)SY/MN?
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Feb 18 (Thu)Feb 18 (Thu)module RC due
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Feb 19 (Fri)Feb 19 (Fri)10:00 AMBeaverworksL03_DPLab DPSYyes
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Feb 20 (Sat)yes
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Feb 21 (Sun)
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Getting realFeb 22 (Mon)Feb 22 (Mon)3:00 PM35-308C06_camerasComputer Vision I - GeometryManifolds (e.g. SO(3), SE(3))CCyes
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Feb 23 (Tue)Image formation models
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Camera calibration (intrinsic & extrinsinc)
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Feb 24 (Wed)3:00 PM35-308C07_testingGuest Lecture - Ted Steiner from FLA
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Feb 24 (Wed)
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Feb 25 (Thu)Feb 25 (Thu)
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Feb 26 (Fri)Feb 26 (Fri)10:00 AMBeaverworksLab 4Git and ROS conventionsLPyes
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Feb 27 (Sat)SYyes
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Feb 28 (Sun)
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Sun Feb 28module RCDP due
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Feb 29 (Mon)Feb 29 (Mon)3:00 PM35-3086Perception 0 -Review of non-linear filtering?JLyes
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Mar 2 (Wed)3:00 PM35-3087Perception 1 - Nonlinear FilteringOverview of Line detectionLPyes
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Background
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The Lane filtering algorithmmodule ?? due
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Evaluating the performance
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Mar 4 (Fri)9:30 AMBeaverworks?Lab 5Module PAICamera calibration and lane filteringLPyesteam pairing due
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CCyes
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Mar 7 (Mon)3:00 PM35-3088Mentor Project PresentationsACyes
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Preliminary design report due
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Mar 9 (Wed)3:00 PM35-3089Computer vision 2 - Object Detectionobject detection (false positives, false negatives, PR curves)CCyesphase 2 development - no lectures
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traffic sign & light detection
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car & duckie detection
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module PAI due
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Mar 11 (Fri)10:00 AMBeaverworksLab 5POD prepObject detectionCCyes
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traffic sign & right, car, and duckie detection
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Mar 14 (Mon)3:00 PM35-30810Perception 2 - Global LocalizationRepresentations (AC?)LPyes
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Measurement models and imperfect data
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Perfomance and testing for convergence
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Mar 16 (Wed)3:00 PM35-30811Perception 3 - TrackingIntersection estimationLPyes
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Target Tracking
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Dealing with false positives/false negatives
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module POD due
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Mar 18 (Fri)10:00 AMBeaverworksLab 6PGL prepPhase 2 feature development LPyes
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Mar 21 (Mon)SPRING BREAKPairing of students with mentor
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Mar 23 (Wed)SPRING BREAK
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Mar 28 (Mon)3:00 PM35-30812Navigation MCyesSafety 1Formal statement of safety problemDH (DDV?)
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Capture set approach
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Monotonicity based algorithm
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Activity plan
Course Calendar