Autonomous vehicle is a promising technology which involved a large investment in the industry. Besides the conventional technologies in autonomous vehicle driving such as Fuzzy logic and Computer vision, Deep learning has become the most important frontier in machine learning which has acted as a main factor in autonomous vehicle development recently. In this presentation, I will talk about some bases in deep neural networks, convolution neural networks with various applications. The latter part, I will briefly present the application of Deep Learning and Computer Vision to automotive problems along with Fuzzy logic, including detecting road center, predicting steering angles and controlling velocities.
Speaker: Mr. Vu Duy Thanh, AVITECH
Time: 15:30, Tuesday, November 26, 2019
Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi
Vu Duy Thanh is an undergraduate student at the University of Engineering and Technology, Vietnam National University Hanoi. He is currently a teaching assistant and a researcher in Advanced Institute of Technology and Engineering UET. He mainly focuses on signal processing and deep learning technology. He was awarded several grants from the industry such as 3F, Mitsubishi and Lawrence S.ting. He also was granted by Big Data Institute, Vingroup an internship with the main studying in Computer vision.