Guidance and Navigation-AAE4203 (Jan 2022)

Undergraduate course, The Hong Kong Polytechnic University, Department of Aeronautical and Aviation Engineering, 2022

This is undergraduate level class delivering the content of GNSS positioning including the single point positioning (SPP), differential GNSS and real-time kinematic positioning. Also, the visual positioning is also introduced. The state estimation methods using Kalman filtering, factor graph optimization are also introduced. This lecture also include two tutorials and massive hand-writing examples to demonstrate the navigation technique for the autonomous systems. The Subject Description Form can can be found in AAE website.

Video Recording and Lecture Notes

Below is the list of the lecture notes and the video recordings of class AAE4203-Guidance and Navigation

LectureVideo RecordingLecture NotesBrief
Lecture 1: Fundermental concepts of navigationVideo RecordingLecture notesThe concept of navigation and positioning, coordinate frame; the different methods of navigation
Lecture 2: Satellite Navigation-I (GNSS SPP, linear least squares)Video RecordingLecture notesThe position estimation using the GNSS pseudorange measurements
Lecture 3: Satellite Navigation-II (GNSS Doppler, linear least squares)Video RecordingLecture notesThe position estimation using the GNSS pseudorange measurements
Lecture 4: Satellite Navigation-III (GNSS RTK, DGNSS, linear least squares for RTK estimation))Video RecordingLecture notesThe position estimation using the GNSS pseudorange measurements
Lecture 5: Visual Navigation: From Sensor to Modeling I))Video RecordingLecture notesThe position estimation using the GNSS pseudorange measurements
Lecture 6: Tutorial on visual feature detection and trackingN/AN/ADemonstration of the visual feature detection, tracking and matching using real image data
Lecture 7: Mid-term testN/AN/AQuiz on week 1-6 subjects contents
Lecture 8: Visual Navigation: From Sensor to Modeling II))Video Recording-part I, Video Recording-part IILecture notesThe basic principles of visual matching, feature tracking, and visual positioning
Lecture 9: Tutorial on visual positioningN/AN/ADemonstration of the visual odometry based positioning using real image data
Lecture 10: State Estimation: Factor Graph for Integrated Navigation I (Kalman filtering and inertial navigation)Video RecordingLecture notesThe basic principle of the Kalman filtering, modeling, least-square estimation.
Lecture 11: State Estimation: Factor Graph for Integrated Navigation IIVideo RecordingLecture notesThe basic principle of optimization with the Gauss-Newton algorithm. Application of the factor graph in GNSS positioning.
Lecture 12: Case Study PresentationN/AN/ASelf-learning on various topics on guidance and navigation
Lecture 13: Case Study PresentationN/AN/ASelf-learning on various topics on guidance and navigation