오태호 progress reviewProgress Review by Taeho
Progress Review by Taeho오태호 progress review
강화학습 기반 개인화 자율주행 기동 연구로 progress review를 진행했습니다.Taeho presented his progress on personalized autonomous driving maneuvers based on reinforcement learning.
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Title: Personalized autonomous driving maneuver based on reinforcement learning
It is evident that road users will be changed from human-driven cars to automated-driven cars in the future by progressive research trends. However, the adoption of autonomous vehicles in our daily life is controversial in many different aspects since people have not ready to accept autonomous vehicles yet. Significant concerns are safety and reliability. According to Reuters , 67 percent of respondents considered that the safety standard of autonomous vehicle driving should be higher than conventional vehicle driving. Plus, on 2020 March, almost half of the Americans responded that they would never take autonomously driven cars, and 60% of respondents said they would have more trust in the
Optimizing autonomous driving maneuver at Unsignalized intersection research is insufficient compared to research at the signalized intersection. Most of them do not consider human behavior and only focus on the efficiency of movement, but this study will consider people3's characteristics. Training based on the personalized driving data is expected to shorten the time to reach the optimized value for reinforcement learning. It is possible to compare how realistic the trained model is by comparing the data of human driving in a virtual environment.