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Navigation systems design (KC-4)

This is a three/four-day intensive course in design and implementation of navigation systems. The course is:

  • aimed at professional engineers and research scientists wishing to acquire a practical knowledge of navigation system design
  • covers different types of dead reckoning and absolute sensors, several common types of navigation systems and Simultaneous Navigation and Mapping
  • emphasises applications in land, air and sea environments. The course includes a series of lectures, together with practical computer-based laboratories aimed at demonstrating implementations, and
  • based on a number of graduate and industry courses given by staff of the ACFR over the past 10 years.

Lecturer

Objectives

  • The course aims to provide practical knowledge and skills for engineers and scientists wishing to employ and develop navigation systems.
  • The focus of the course is on navigation system design, including algorithm development, applicability of different types of sensors; radar, laser, vision, Global Positioning Systems (GPS), for example, and combinations of sensors such as such as GPS/inertial systems.
  • The course emphasizes practical applications of vehicle navigation systems in both structured and unstructured environments.
  • A key feature of the course is the use of practical laboratory sessions, based on Matlab, in which various type of navigation methods are implemented and evaluated using experimental inertial, radar, laser and GPS data obtained from real systems.
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Outcomes

  • To provide both the theoretical and practical skills necessary to design and implement navigation systems.

Prerequisites

  • This course is intended for practising control or systems engineers, advanced graduate students or equivalent. Students are expected to have prior experience with state estimation methods (equivalent to KC-1).

Syllabus

  1. Introduction to navigation, vehicle modelling, beacon-based navigation systems. Laboratory: Implementation beacon navigation systems using radar/laser/encoder outdoor data..
  2. Introduction to Inertial Sensors and Inertial Navigation. Initial Calibratin and Alignment algorithms. Laboratory: Implementation of Calibration, alignment and Integration algorithms with various type of IMU data.
  3. Global Positioning System (GPS). GPS /INS data fusion algorithms. Laboratorty: Implementation of GPS and INS integration with varios type of GPS and INS data.
  4. Simultaneous Localisation and Mapping (SLAM). Laboratory: Implementation of SLAM algorithms in unstructured environments.

Course Materials

  • Course materials consist of comprehensive course notes, slides used in course presentation, source code for laboratories, tutorials and tutorial solutions. Course material is provided in both printed hard-copy and in soft-copy (CD-ROM) form.

Name and password required for the following information (Instructions: Create a directory for the course. Place laboratory software modules in different directories. Instructions for laboratories is in zipped files.):


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