| 期刊全稱 | Algorithm & SoC Design for Automotive Vision Systems | | 期刊簡稱 | For Smart Safe Drivi | | 影響因子2023 | Jaeseok Kim,Hyunchul Shin | | 視頻video | http://file.papertrans.cn/153/152816/152816.mp4 | | 發(fā)行地址 | Provides an overall view for SoC design of automotive vision systems.Introduces a variety of vision-related algorithms and SoC implementation issues.Provides a guideline to get started for R&D works i | | 圖書封面 |  | | 影響因子 | .An emerging trend in the automobile industry is its convergence with information technology (IT). Indeed, it has been estimated that almost 90% of new automobile technologies involve IT in some form. .Smart. driving technologies that improve safety as well as .green. fuel technologies are quite representative of the convergence between IT and automobiles. The smart driving technologies include three key elements: sensing of driving environments, detection of objects and potential hazards and the generation of driving control signals including warning signals..Although radar-based systems are primarily used for sensing the driving environments, the camera has gained importance in advanced driver assistance systems (ADAS)..This book covers system-on-a-chip (SoC) designs—including both algorithms and hardware—related with image sensing and object detection by using the camera for smart driving systems. It introduces a variety of algorithms such as lens correction, super resolution, image enhancement and object detections from the images captured by low-cost vehicle camera. This is followed by implementation issues such as SoC architecture, hardware accelerator, software development e | | Pindex | Book 2014 |
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