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Title: The Study of Deep learning Applications for Autonomous Vehicles, From Unicorns’ Perspective.
Authors: Liang, Pi-Hsia
Contributors: 2019智慧企業資訊應用發展國際研討會
Keywords: 自主車輛;深度學習;感知;獨角獸;成功因素
深度學習(DL)的應用,使自動駕駛汽車(AV)上所需的電腦視覺和傳感器感知得以改進,提昇傳感器融合技術和增強AI晶片設計功能,自動駕駛汽車(AV)變得可實現。強大的需求和充滿希望的產業發展前景吸引了互聯網巨頭,ICT領先公司,IC晶片製造商,汽車企業,人工智慧專業人士和風險投資家紛紛湧入這片充滿希望的領域。本研究的目的是分析和探索深度學習(DL)和自動駕駛汽車(AV)獨角獸公司* 的組成及其成功因素,並以DL/AL獨角獸公司為研究樣本,判定可能與其他產業,如互聯網業,不同的關鍵成功因素。該研究發現,DL / AV獨角獸公司在公司成功的原因上具有統計意義:(a)具有強大AI團隊的卓越技術;(b)與DL / AV生態系統合作或加入,並擁有強大的財務和技術支持;(c)公司的可持續成功需要健全的商業模式和敏捷執行。
Date: 2019-06
Issue Date: 2019-07-17 15:12:17 (UTC+8)
Abstract: Deep Learning (DL) applications have made autonomous vehicles (AV) become achievable through the computer vision and sensor perception improvements, senor fusion technologies and AI chip designs. The strong demands and promising developments have allured internet giants, ICT leading companies, IC chip makers, auto incumbents, AI professionals and venture capitalists jump into this promising land. The purpose of this study is to analyze and explore the composition of DL/AV unicorn companies* and its successful factors, and take the unicorn companies as the research sample to identify those key success factors which may different with other sector, such as internet unicorns and etc. The study found that the DL/AV unicorn companies is statistically significant on the reason of companies success: (a) superior technology with a strong AI team; (b) partner with or join in an DL/AV ecosystem with strong financial and technical supports; (c) the sound business model and agile execution is required for the sustainable success of companies. 
Relation: 2019智慧企業資訊應用發展國際研討會
Data Type: conference
Appears in Collections:[2019智慧企業資訊應用發展國際研討會] 會議論文

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