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The School of International Technology and Management, the School of Interdisciplinary Design and the International Industry-University Alliance jointly held the first campus AWS DeepRacer competition in Taiwan on June 21 at the Smart Innovation Port (i-Hub) of Feng Chia University.

In this semester, the International School of Technology and Management’s innovative thematic course consists of a teaching team composed of Mr. Liang Chenrui from the International School of Technology and Management and Mr. Wu Rujuan from the Interdisciplinary School of Design. The AWS cloud service resources are integrated into the curriculum design, as well as artificial intelligence and DeepRacer related courses training. The self-driving car model, visualization, parameter design and other contents are explained by the original AWS instructor. At the same time, teachers and teaching assistants from the Department of Computer Science, Operation Management, Information Department of the school will participate in the training, and those who have previously taken AWS related courses Cross-faculty students in business, information technology, engineering, etc. serve as teaching assistants to assist teachers and students in completing self-driving car modeling, training and online simulation competitions. The final results of the competition are the DeepRacer entities submitted by the brainstorming of each group of students During the competition, students are gradually guided from online to offline to understand the basic logic and practical applications of artificial intelligence.

AWS DeepRacer is a downsized four-wheel drive vehicle with a size of only 1/18 of a real racing car. It is for developers to learn about the Reinforcement Learning in machine learning technology through training machine learning models for autonomous driving, and train them well. The online model is loaded into the DeepRacer control module, so that a self-driving car with only one camera lens can distinguish the colors on the track in the real world and compete with other groups to verify each group of machine learning models The effectiveness of.

參賽同學透過自駕車競速學習AI技術。

參賽同學透過自駕車競速學習AI技術。

This competition is the first DeepRacer competition conducted by a university in Taiwan. What's more rare is that the entire competition is completed by the teaching assistant team of the school under the guidance of AWS experts, which highly demonstrates the creativity and organization of Feng Chia students. , Teamwork and execution. A total of seven groups of students from the International School of Technology and Management participated in the competition. The schedule is divided into preliminaries and finals. Participants drive the car to race on the track through the trained model, and adjust various parameters according to the car's each race situation to make the car speed , Turning stability, etc. to reach the best condition. In addition to the participating students, the competition personnel are also held by students from the school’s business school and the school of information and electricity. In addition to learning the concepts of intensive learning together, the competition personnel must further understand the operation principle of DeepRacer, software and hardware Knowledge of detection and troubleshooting. The AWS team highly praised the students of our school for not only training a model that can run the entire course, but also completing the entire competition in a short period of time.

In addition to the students participating in the race, there were also many teachers and students in the school who watched the race. The scene continued to cheer and cheer with the car racing situation. Finally, based on the results, the best team with the fastest lap speed, the shortest total hours, and the highest stability was selected. .

The school has successively implemented relevant courses and activities in promoting the learning of AWS cloud services. On July 6th, the Central Campus Game Day invitational competition will be held jointly with the original AWS factory. It is hoped that through multiple methods, students can apply the cloud computing resources they have learned to In all areas, produce more influential results.

圖|跨領域設計學院提供

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