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Formula 1’’s Unsung Pioneers: The Story of the British Racing Partnership and How It Launched Motorsport Into the Modern Era

為了解決Mercedes-Benz USA的問題，作者Wagstaff, Ian 這樣論述：

Freelance journalist Ian Wagstaff won the Mercedes Benz Montagu of Beaulieu Trophy for his book, The British at Le Mans. He wrote for Autosport and Motoring News before becoming press and promotions manager at Silverstone in the late 1970s. His current work for Racecar Engineering, Race Engine Techn

ology, Performance Racing Industry, The Paddock, The Red Bulletin and Auto Technology takes him to races throughout Europe and the USA, including the Indianapolis 500.Bernie Ecclestone is the former chief executive of the Formula One Group, which manages Formula One and controls the commercial right

s to the sport.

Mercedes-Benz USA進入發燒排行的影片

基於目的地導向之道路潛在危險社交行為預測

為了解決Mercedes-Benz USA的問題，作者林明志 這樣論述：

本論文主要開發一套基於目的地導向之道路潛在危險社交行為預測，如行人或車輛無預期性的突然闖入車道、行人不遵守道路規則橫跨馬路等道路危險情境，藉由所發展的深度學習演算策略預測動態物件的短期軌跡，以進一步達到駕駛安全預警輔助系統之功效。首先，為了提取道路環境中動態物件一小段連續時間的辨識結果，故本論文主要是採用深度學習模型進行物件辨識，並於辨識後使用件追蹤演算法，以確保獲得的邊界框為同一行人、四輪車輛或者兩輪車輛。接著我們發展一套基於目的地導向之社交行為預測模型，並搭配自我迴歸訓練策略，以實現物件彼此之間的社交軌跡預測，其中該網路模型主要分成五大部分 (1)特徵提取器；(2)編碼器；(2)目的地導

向預測器；(3)條件變分自動編碼器；(4)解碼器。首先，透過特徵提取器由輸入資訊中提取動態物件與自車彼此間的距離、動態物件速度、動態物件軌跡以及自車的狀態等時序特徵。接著，輸入至編碼器中進行編碼，此編碼器主要由長短期記憶與多頭自注意力機制組成，分別針對目標物件的時序特徵以及社交關係進行編碼。接著，目的地導向預測器則是透過長短期記憶與多頭自注意力機制先行預測未來軌跡，並分別向前回饋給編碼器以輔助特徵編碼生成；同時向後輸出至後續的條件變分自動編碼器，以用來輔助最終的軌跡預測結果。第三部分為條件變分自動編碼器將未來軌跡做為條件，生成符合條件的未來軌跡多模態(multimodal)分佈。最終透過基於多

頭自注意力機制的解碼器，有效預測出更準確的軌跡路徑。最後本文主要是採用TITAN公開資料庫，以進行本文所發展的演算模型驗證與量化分析。經實驗結果發現，本文所提方法其預測軌跡的平均位移誤差(ADE)能有效改善5%、最終位移誤差(FDE)更能有效改善21%，同時最終交並比(FIOU)也提升9%。

Autonomous Driving Changes the Future

為了解決Mercedes-Benz USA的問題，作者Chai, Zhanxiang,Nie, Tianxin,Becker, Jan 這樣論述：

​Zhanxiang ChaiZhanxiang Chai, a Master’s degree holder, has studied at Automotive Engineering Department of Tsinghua University and Business School of Colorado State University respectively. He is also a PMP certified by Project Management Institute, USA. Since 1990, he has served at China Academy

for Launch-Vehicle Technology, Mercedes-Benz Beijing Liaison Office, Fiat Auto Beijing Representative Office, ASIMCO Group subsequently, holding various technical and managerial positions. He held the position of Assistant Chairman of China Council for the Promotion of International Trade Automotive

Committee (CCPIT-Auto) in 2009, mainly responsible for the execution of top level conferences and auto shows, as well as international cooperation. With his thorough and profound observation on auto industry, he was instrumental in creating the Global Automotive Forum in 2010 as the Secretary Gener

al of the GAF Organizing Committee. Under his overall leadership, Global Automotive Forum has been ranked among top 10 most influential conferences in China since 2012. Tianxin NieA successful entrepreneur, investment banker, and advocate of EVs, Tianxin Nie has been a leading automotive industry vi

sionary, specializing in Research & Development, for the past twenty years. From being a core founding member of the Lotus China Team to his current position leading a team developing all-new premium EVs in California, his reputation and accomplishments have been widely acknowledged in various indus

tries and countries. In 2014, he was appointed to create an all-new EV company. His twenty-year commitment to realizing smart and green mobility for the future, and for everyone, won’t be considered futuristic for much longer. Jan BeckerJan Becker is President, CEO, and Co-Founder of Apex.AI, Inc. H

e is also the Managing Director of the Apex.AI GmbH and Co-Founder and Director of the Autoware Foundation. Prior to founding Apex.AI, he was Senior Director at Faraday Future responsible for Autonomous Driving and Director at Robert Bosch LLC responsible for Automated Driving in the North America.

He also served as a Senior Manager and Principal Engineer at the Bosch Research and Technology Center in Palo Alto, CA, USA, and as a senior research engineer for Corporate Research at Robert Bosch GmbH, Germany. Since 2010, Jan is Lecturer at Stanford University for autonomous vehicles and driver a

ssistance. Previously, he was a visiting scholar at the University’s Artificial Intelligence Lab and a member of the Stanford Racing Team for the 2007 DARPA Urban Challenge. In 2019, Jan was appointed to serve on the external Advisory Board of MARELLI to provide strategic advice to the MARELLI Board

. He is an inventor who is listed on more than 50 patents and patent applications, author of more than 50 publications and papers covering autonomous systems, robotics, driver assistance, automated driving, and frequent speaker at major conferences. Jan was listed as one of the top ’60 people drivin

g the self-driving movement’ by Automotive News in 2016. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and belongs to the organization’s Control Systems Society, Intelligent Transportation Systems Society, and Robotics and Automation Society. He is Associate E

ditor of the IEEE Intelligent Vehicles Symposium and the Intelligent Transportation Systems Conference, and was on the Board of Governors of IEEE’s Intelligent Transportation Systems Society from 2014-2016 and served on the board of directors of Silicon Valley Robotics from 2012-2014. Jan is also a

member of SAE and co-author of the standard SAE J3016, which defines the levels of driving automation. Jan earned a Ph.D. in control engineering from the Technical University of Braunschweig, Germany, a master’s degree in mechanical and aerospace engineering from the State University of New York at

Buffalo, USA and a master’s degree in electrical engineering from the Technical University of Darmstadt, Germany. By the way, the translators are: Zhanxiang Chai, Resa Ding, Jay Jiang, Tian Chuan and Eunice Chai

伊朗和台灣青年對未來意象的比較性研究：以科幻電影為例

為了解決Mercedes-Benz USA的問題，作者米蒙德 這樣論述：

本研究旨在探討科幻電影中之未來貌與青年可欲的未來兩者間之異同。作者透過討論十部賣座的科幻大片，與十四位伊朗籍及臺灣籍研究生進行訪談。研究結果指出多數賣座的科幻電影勾勒出反烏托邦的未來，與青年可欲的未來相差甚遠。再者，電影中的未來主題幾乎無法建構出一個令人嚮往的、可欲的未來。本研究使用因果層次分析(Causal Layered Analysis, CLA)與STEEP分析來解構電影主題與青年可欲的未來。同時利用以上兩種分析法探討在STEEP各領域中，青年所嚮往的未來及其因果層次；反之，亦探討科幻電影所呈現的分析結果。透過創新的觀點，本研究比較伊朗籍與臺灣籍學生對於科幻電影與個人可欲未來之觀點，

研究結果有益於未來學研究與媒體研究中的多領域研究。