許琮明
Tsung-Ming Hsu
專員 / 車輛研究測試中心 研發處 
Technology coordinator / 
 
Automotive Research Testing Center 

智慧決策為實踐自駕車不可或缺之關鍵技術,高正確率之智慧決策將使自駕車能安全且正確地行駛於複雜道路環境。智慧決策乃基於雷達、光達與影像等感測器感知融合資訊,由傳統規則化(Rule-based)與人工智慧(AI-based)兩種決策方法實現決策規劃功能。

 

隨AI關鍵技術不斷突破之際,產業面臨技術選擇轉型的關鍵議題。本演講題綱如下:

1. 國際自駕車發展趨勢

2. 台灣自駕車決策技術科研發展

3. 台灣專利自駕車布局方向。

Decision making with high accuracy rate is an indispensable technology for self-driving cars to safely and correctly drive on road complex environments. The decision making is based on fusion of radar, LiDAR, and camera sensors to plan suitable path and velocity. Rule-based methodology is common applied for the decision-making system. However, with continuous breakthroughs in AI-based method, automated industry is faced with challenges in technology transformation.

 

The topics of this speech are as follows:

1. Development trend of international autonomous vehicles

2. Research and development of decision-making technology for autonomous vehicles in Taiwan

3. Trends of Taiwan patent application in autonomous vehicle.

  • 學歷

中央大學統計研究所博士

 

  • 專長

  1. 決策系統

  2. 軌跡規劃

  3. 統計

 

  • 經歷

  1. 車輛研究測試中心專員 (2019.1-迄今)

  2. 車輛研究測試中心課員 (2017.3-2018.12)

  3. 美國普渡大學克蘭納特管理學院訪問學者 (2014.7-2015.4)

  • Tsung-Ming Hsu received his PHD degree in statistics in 2016 from National Central University, Taiwan. Since 2017, he has been with the Electronic Control Technology Group of R&D division, Automotive Research Testing Center, where he is now a technology coordinator. His research interest is in developing statistical and AI methodologies that are useful in decision-making system, motion planning system, and intention-aware prediction for autonomous vehicles.

智駕車Autonomous vehicle
自駕車決策系統之研究發展
 
Development of Decision-Making System for Autonomous Vehicles
​演講大綱
​講師簡歷