標題: Titlebook: Algorithm & SoC Design for Automotive Vision Systems; For Smart Safe Drivi Jaeseok Kim,Hyunchul Shin Book 2014 Springer Science+Business Me [打印本頁] 作者: 祈求 時間: 2025-3-21 17:59
書目名稱Algorithm & SoC Design for Automotive Vision Systems影響因子(影響力)
書目名稱Algorithm & SoC Design for Automotive Vision Systems影響因子(影響力)學科排名
書目名稱Algorithm & SoC Design for Automotive Vision Systems網絡公開度
書目名稱Algorithm & SoC Design for Automotive Vision Systems網絡公開度學科排名
書目名稱Algorithm & SoC Design for Automotive Vision Systems被引頻次
書目名稱Algorithm & SoC Design for Automotive Vision Systems被引頻次學科排名
書目名稱Algorithm & SoC Design for Automotive Vision Systems年度引用
書目名稱Algorithm & SoC Design for Automotive Vision Systems年度引用學科排名
書目名稱Algorithm & SoC Design for Automotive Vision Systems讀者反饋
書目名稱Algorithm & SoC Design for Automotive Vision Systems讀者反饋學科排名
作者: Pelago 時間: 2025-3-21 23:17 作者: periodontitis 時間: 2025-3-22 00:38 作者: 卷發(fā) 時間: 2025-3-22 05:11 作者: Clinch 時間: 2025-3-22 09:21 作者: DEMN 時間: 2025-3-22 12:54 作者: theta-waves 時間: 2025-3-22 18:34 作者: prodrome 時間: 2025-3-22 21:59 作者: 不滿分子 時間: 2025-3-23 05:11
Software Development Environment for Automotive SoC,ment traceability, verification, validation and documentation. MBD can reduce the errors and increase the maturity level of the development process. This system is being used increasingly for the development of automotive software systems. AUTOSAR is a type of model-based development method for an a作者: 驚呼 時間: 2025-3-23 05:59 作者: Catheter 時間: 2025-3-23 11:27
Jennifer Kuzma,Teshanee T. Williamsn other super resolution algorithms discard this registration error. This algorithm follows the warp-blur observation model because the blurring parameter is much bigger than warp parameter for camera rotation and/or vibration.作者: 幸福愉悅感 時間: 2025-3-23 16:58 作者: Fracture 時間: 2025-3-23 18:32
Book 2014w 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,作者: minion 時間: 2025-3-24 00:37
n issues.Provides a guideline to get started for R&D works i.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 impro作者: colony 時間: 2025-3-24 04:07 作者: mastoid-bone 時間: 2025-3-24 09:56 作者: stress-response 時間: 2025-3-24 12:42 作者: Culpable 時間: 2025-3-24 16:00
Introduction,s, which are very popular mainly because of their low development costs and very diverse potential applications. The system-on-chip (SoC) architecture and components of automobile vision systems are also presented.作者: Modify 時間: 2025-3-24 21:19
SoC Architecture for Automobile Vision System,e current practice of automotive driving is mostly, if not entirely, based on vision. This chapter discusses architectural issues to be considered when designing Systems-on-a-Chip (SoC) for automobile vision system. Various existing architectures are introduced together with some analysis and comparison.作者: 無意 時間: 2025-3-24 23:21 作者: 別名 時間: 2025-3-25 06:01
Image Enhancement for Improving Object Recognition,mprove the recognition rate of objects, several image enhancement algorithms are proposed and evaluated. In this chapter, general image enhancement techniques are introduced, followed by a discussion of advanced techniques for the driving environment.作者: Oration 時間: 2025-3-25 09:08
Detection of Vehicles and Pedestrians,, different human postures/clothing, and weather/environment conditions is a challenging problem. In the following sections, the state of the art methods in vehicle and pedestrian detection are discussed.作者: Exonerate 時間: 2025-3-25 13:08
https://doi.org/10.1007/978-3-031-24271-7mprove the recognition rate of objects, several image enhancement algorithms are proposed and evaluated. In this chapter, general image enhancement techniques are introduced, followed by a discussion of advanced techniques for the driving environment.作者: Spongy-Bone 時間: 2025-3-25 17:41 作者: 遺傳學 時間: 2025-3-25 20:27
Lens Correction and Gamma Correction,rection algorithm with objective illumination estimation method. In the lens correction part, we introduced a simple lens correction method in low-cost camera and we propose a method that leads to guarantee of the restrictions simultaneously for the determination. In the gamma correction part, we in作者: 少量 時間: 2025-3-26 00:22
,Monitoring Driver’s State and Predicting Unsafe Driving Behavior,ents such as PERCLOS, yawning detection and some limitations in measuring visual features are discussed in detail. As for non-visual features, we explore various physiological signals and possible drowsiness detection methods that use these signals. As for vehicle-based features, we describe steerin作者: ARCH 時間: 2025-3-26 06:42
Hardware Accelerator for Feature Point Detection and Matching,core system. To overcome these limitations, we aims to implement hardware which achieve more than 90 frames per second in full HD resolution (1080p) only with 30?% of logic gates compared to the state-of-the-art object recognition processors. In this chapter, we introduces three techniques to design作者: Cuisine 時間: 2025-3-26 09:33
Software Development Environment for Automotive SoC,e SoC is described. The automotive SoC consists of multiple processors, a customized vision process engine for an automotive vision system and peripheral. Each component of the SoC is mapped to the AUTOSAR layered architecture, such as MCAL, ECU abstraction and CCD.作者: 殖民地 時間: 2025-3-26 16:38 作者: conspicuous 時間: 2025-3-26 20:41
https://doi.org/10.1007/978-3-031-24271-7ents such as PERCLOS, yawning detection and some limitations in measuring visual features are discussed in detail. As for non-visual features, we explore various physiological signals and possible drowsiness detection methods that use these signals. As for vehicle-based features, we describe steerin作者: 不真 時間: 2025-3-26 21:17
Irene Nagel-Jachmann,Uwe Schirmercore system. To overcome these limitations, we aims to implement hardware which achieve more than 90 frames per second in full HD resolution (1080p) only with 30?% of logic gates compared to the state-of-the-art object recognition processors. In this chapter, we introduces three techniques to design作者: 背帶 時間: 2025-3-27 02:47
https://doi.org/10.1007/978-3-658-38012-0e SoC is described. The automotive SoC consists of multiple processors, a customized vision process engine for an automotive vision system and peripheral. Each component of the SoC is mapped to the AUTOSAR layered architecture, such as MCAL, ECU abstraction and CCD.作者: 疾馳 時間: 2025-3-27 08:31
ion, 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 e978-94-024-0114-1978-94-017-9075-8作者: insolence 時間: 2025-3-27 12:07
Book 2014ving 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作者: Conclave 時間: 2025-3-27 13:38
Algorithm & SoC Design for Automotive Vision SystemsFor Smart Safe Drivi作者: debacle 時間: 2025-3-27 20:22 作者: 極為憤怒 時間: 2025-3-28 00:28
https://doi.org/10.1007/978-3-031-24271-7ion avoidance. Some industrial developments and major functional blocks of ADAS are also introduced. We have focused on the camera vision-based systems, which are very popular mainly because of their low development costs and very diverse potential applications. The system-on-chip (SoC) architecture作者: Thyroid-Gland 時間: 2025-3-28 03:26 作者: STRIA 時間: 2025-3-28 07:08 作者: 信徒 時間: 2025-3-28 13:47
https://doi.org/10.1007/978-3-031-24271-7iables that degrade the quality of the image captured from the camera, such as fog, rain, a sudden change of illumination, or lack of illumination. If the quality of the obtained image is degraded, object recognition (cars, pedestrians, fixed objects, and traffic signals) can be unsatisfactory. To i作者: 貴族 時間: 2025-3-28 16:49 作者: Expand 時間: 2025-3-28 22:23
https://doi.org/10.1007/978-3-031-24271-7vel and decision making capability, which negatively affect the ability to control the vehicle. One way to reduce these kinds of accidents would be through monitoring driver and driving behavior and alerting the driver when they are drowsy or in a distracted state. In addition, if it were possible t作者: 沉積物 時間: 2025-3-29 01:55
Irene Nagel-Jachmann,Uwe Schirmerand computer engineering that provides key enabling technologies for such a system. Among others, . is one of the most important technologies since the current practice of automotive driving is mostly, if not entirely, based on vision. This chapter discusses architectural issues to be considered whe作者: 假設 時間: 2025-3-29 06:51
