Jia Pan
Weihe Zhang
An unmanned system is a vehicle that can guide itself without human conduction. This kind of vehicle has become a concrete reality and may pave the way for future systems where computers take over the art of machine operation. An unmanned system has many applications with great potentials, including driverless car, industry robotics, and aerospace.
This class is geared toward software engineers, electrical engineers, and mechanical engineers ready to expand their skills building the “brain” for the unmanned system. We will discuss how to implement several important algorithmic building blocks for the unmanned system in a simulation environment. By the end of the course, we will have a simple but complete pipeline of the unmanned system.
| Course Learning Outcomes | Relevant Programme Learning Outcome |
| CLO1. Able to understand the main principles relating to different algorithmic building blocks in unmanned systems | PLO.4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 |
| CLO2. Able to implement the basic algorithms in unmanned systems | PLO.4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 |
| CLO3. Able to apply the learned algorithms to solve new problems in practice | PLO.4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 |
| View Programme Learning Outcomes | |
| Course Content | No. of Hours | Course Learning Outcomes |
| Introduction to unmanned system | 1 | CLO1, CLO2, CLO3 |
| Background techniques: coordinate transform, linear system, optimization, and probability | 3 | CLO1, CLO2, CLO3 |
| Motion modeling | 3 | CLO1, CLO2, CLO3 |
| Sensor measurement | 3 | CLO1, CLO2, CLO3 |
| State estimation | 3 | CLO1, CLO2, CLO3 |
| Localization and mapping | 6 | CLO1, CLO2, CLO3 |
| Control | 2 | CLO1, CLO2, CLO3 |
| Planning | 6 | CLO1, CLO2, CLO3 |
| Case Study | 3 | CLO1, CLO2, CLO3 |
| Description | Type | Weighting * | Examination Period ^ | Course Learning Outcomes |
| 4 programming / writing individual assignments | Continuous Assessment | 40% | - | CLO1, CLO2, CLO3 |
| Projects | Continuous Assessment | 10% | - | CLO1, CLO2, CLO3 |
|
2-hour written exam covers all taught
content in the course |
Written Examination | 50% | 8 - 23 May 2023 | CLO1, CLO2 |
|
* The weighting of coursework and examination marks is subject to approval ^ The exact examination date uses to be released when all enrolments are confirmed after add/drop period by the Examinations Office. Students are obliged to follow the examination schedule. Students should NOT enrol in the course if they are not certain that they will be in Hong Kong during the examination period. Absent from examination may result in failure in the course. There is no supplementary examination for all MSc curriculums in the Faculty of Engineering. |
||||
- Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press
| Date | Time | Venue | Remark | |
| Session 1 | 20 Jan 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 2 | 3 Feb 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 3 | 10 Feb 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 4 | 17 Feb 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 5 | 24 Feb 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 6 | 3 Mar 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 7 | 17 Mar 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 8 | 24 Mar 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 9 | 31 Mar 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| Session 10 | 14 Apr 2023 (Fri) | 7:00pm - 10:00pm | MW-T3 | Face-to-face |
| MW - Meng Wah Complex | ||||