School of Science and Technology 科技學院
Computing Programmes 電腦學系
| Programme | Bachelor of Computing with Honours in Internet Technology |
| Supervisor | Dr. Keith LEE |
| Areas | E-Learning |
| Year of Completion | 2019 |
According to some research studies, the crash rate of novice drivers is significantly higher than experienced drivers. Drivers who lack experience have less ability to detect hazards, including discovering, recognizing, and reacting against potentially dangerous situations in traffic. Therefore, compared to experienced drivers, novices and learner drivers bring higher risk to road safety. New drivers need to have more practice for developing expertise in driving.
The aim of this project is to use a mobile application to improve novices' and learner drivers' driving experience and let learner drivers get prepared for the driving test anywhere and anytime. The project also promotes safe driving by using smartphone to provide a driver training platform with high portability and functionality.
The mobile application provides road usage tutorials and driving tasks for app users to improve driving experience. With a simulated driving test in the app, learner drivers can get more prepared for the real driving test.
The project has defined a number of sub-objectives as follows:
System architecture
Figure 1: Modes in the game
Technologies and techniques used
Blender
We have used Blender to build models, including roads, buildings, and road signs.
Google Map Street View
Google Map Street View has been used to first obtain rough appearances of the objects.
Adobe Illustrator
We have used Adobe Illustrator to draw the road signs.
Figure 2: Different levels in tutorial mode
Figure 3: A hint indicating ‘No Stopping on the yellow box marking'
Figure 4: Leaderboard in Driving Test mode
Figure 5: A snapshot in the game
Figure 6: Main page
Figure 7: A snapshot in the game
Tutorials are divided into 3 categories, including Road Recognition (道路識別), Reaction to Actual Driving (實際行車), and Driving Habit Enhancement (駕駛習慣). In each category, different levels will be provided. There are also some instructions and hints in every tutorial to teach players driving skill and how to prevent making mistakes.
| Question | Min | Max | Mean | Median | Mode |
|---|---|---|---|---|---|
| I think this application can help to learn driving. | 3 | 5 | 4.4 | 4.5 | 5 |
| I think this application running smoothly. | 2 | 5 | 3.2 | 3 | 2, 3, 4 |
| I think the UI of this application is clear. | 3 | 5 | 3.6 | 3.5 | 3 |
| I think the map of this application is authentic. | 4 | 5 | 4.7 | 5 | 5 |
| I think this application can help me to learn more about the driving test. | 3 | 5 | 4.1 | 4 | 4 |
| I think this application can improve my confidence on driving test. | 3 | 5 | 3.8 | 4 | 3, 4 |
Table 1: Statistics of User Experience reviewed by interviewees
The scale used in Table 1 based on 5-point Likert scale:
5: Strongly Agree
4: Agree
3: Neutral
2: Disagree
1: Strongly disagree
Table 1 shows that our application could help novice drivers and learner drivers to learn more about driving skills and driving rules. Most of our interviewees strongly agreed that the map of the game was authentic. The application can help users to recognize roads. It also reflected that we were needed to improve our user interface in the application to make it clearer and smoother.
Several works will be done to further improve our solution.
We will implement our driving-learning solution into a virtual reality environment (VR) with a gaming steering wheel and pedals. VR environment provides players with an immersive and realistic game scene. With VR technology, we can detect the head movement of players. Hence, blind spot observation can be done in the solution. Besides, with the support of a steering system and accelerators, we can provide training on improving driving skills more effectively and realistically in our solution as well.
Expanding our map is also an important task. As our map is now only limited to Ho Man Tin, player can only practise driving in this small area. We may create a bigger map with different places in Hong Kong, such as Hung Hom, Kowloon Tong, and Mong Kok. In addition, more driving test routes from different driving test centres should be added. It can lead to more learning drivers using the game for driver training and getting prepared for driving tests.
Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.
After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.
Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.
The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.
Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.
Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.
| Course Code | Title | Credits | |
|---|---|---|---|
| COMP S321F | Advanced Database and Data Warehousing | 5 | |
| COMP S333F | Advanced Programming and AI Algorithms | 5 | |
| COMP S351F | Software Project Management | 5 | |
| COMP S362F | Concurrent and Network Programming | 5 | |
| COMP S363F | Distributed Systems and Parallel Computing | 5 | |
| COMP S382F | Data Mining and Analytics | 5 | |
| COMP S390F | Creative Programming for Games | 5 | |
| COMP S492F | Machine Learning | 5 | |
| ELEC S305F | Computer Networking | 5 | |
| ELEC S348F | IOT Security | 5 | |
| ELEC S371F | Digital Forensics | 5 | |
| ELEC S431F | Blockchain Technologies | 5 | |
| ELEC S425F | Computer and Network Security | 5 |
| Course Code | Title | Credits | |
|---|---|---|---|
| ELEC S201F | Basic Electronics | 5 | |
| IT S290F | Human Computer Interaction & User Experience Design | 5 | |
| STAT S251F | Statistical Data Analysis | 5 |
| Course Code | Title | Credits | |
|---|---|---|---|
| COMPS333F | Advanced Programming and AI Algorithms | 5 | |
| COMPS362F | Concurrent and Network Programming | 5 | |
| COMPS363F | Distributed Systems and Parallel Computing | 5 | |
| COMPS380F | Web Applications: Design and Development | 5 | |
| COMPS381F | Server-side Technologies and Cloud Computing | 5 | |
| COMPS382F | Data Mining and Analytics | 5 | |
| COMPS390F | Creative Programming for Games | 5 | |
| COMPS413F | Application Design and Development for Mobile Devices | 5 | |
| COMPS492F | Machine Learning | 5 | |
| ELECS305F | Computer Networking | 5 | |
| ELECS363F | Advanced Computer Design | 5 | |
| ELECS425F | Computer and Network Security | 5 |
