Technical Name Deep-learning-based Intelligent Driving Assistance System
Project Operator NPIE Bridge Program
Project Host
Summary
NCTU iVSIAC provides professional and innovative vision-based software solutions to driving assistance, surveillance, and medical video application field for industry, including Wide-view stitching, 360-degree video stitching, Inclement weather processing, Single-camera/ Dual-camera/ Camera-array HDR night vision, Local HDR night vision, Forward collision warning, Lane departure warning (ISO-17361 certificated), Pedestrian and scooter detection, Blind spot detection, Speed limit sign detection, Triangular sign detection, etc. Now, we have developed efficient deep-learning-based solutions for FCWS, Pedestrian detection, vehicle detection, motorcycle rider/bicycle rider detection and BSD that could be realized in an embedded system (nVidia Jetson TX-1) in real-time.
Scientific Breakthrough
本團隊所研發之技術,均以能實現於嵌入式平台為目標,所開發之技術均具低複雜度而能維持應有之準確度與品質。此些基於影像之輔助技術能適用於各式惡劣天候(如:夜間、雨天、霧天等),符合實際使用者需求。
Industrial Applicability
根據專利分析公司統計,在2009年至2013年間,車用電子相關發明文獻大量成長,自2009年一萬多件增加至2013年的四萬餘件,足見此領域發展之可能與需求性,知名公司Toyota、GM、Mitsubishi、Bosch、Hyundai、Hitachi、Google Inc.、Daihatsu Motor、Daimler、Denso、Honda等投入無人車、駕駛輔助相關之設計開發,而車後市場也力求技術加值,盼能提升行車記錄器功能,進而具有競爭性與發展性。
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