Description: Programming the Microsoft Windows driver model繁中版
透過Windows驅動程式的權威們專業的協助，學習如何使用簡易的方式來撰寫Windows驅動程式。
Microsoft WDM支援隨插即用（PnP）功能，提供了電源管理能力，並詳述撰寫驅動程式/迷你驅動程式的方法。這本由長時間接觸裝置驅動程式的專家Walter Oney 與Windows核心小組共同合作的書提供了大量很實用的例子、圖表、建議，並一行一行分析範例的程式碼，好讓您能夠清楚了解實際上在撰寫驅動程式時所會發生的問題。另外亦更新了Windows XP及Windows 2000的最新驅動程式技術，又告訴您如何除錯。
-Programming the Microsoft Windows driver model-fan version of Windows drivers through the authority of their professional assistance, learning how to use the simple way to write a Windows driver. Microsoft WDM support Plug and Play (PnP) features, provide a power management capabilities, and detailed written driver/mini-driver approach. By prolonged exposure to this device driver expert Walter Oney with Windows core group together to provide a great deal of the book is very practical examples, charts, recommendations, and his examples and his analysis of the code, so you can clearly understand the fact At the time of writing the driver when the problems occur. Also updated the Windows XP and Windows 2000 the latest driver technology, but also show you how to debug. Platform: |
Size: 1328128 |
Author:roger |
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Description: 静态图像中的人体检测技术在驾驶员辅助系统、人体运动捕捉、色情图片过滤以及虚拟视频等领域有重要的应用价值。-Static images of the human body detection technology in driver assistance systems, human motion capture, filter pornography and other areas as well as the virtual video has important application value. Platform: |
Size: 8569856 |
Author:小鹿 |
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Description: 几篇基于计算机视觉技术的车道偏离预警系统的文章。-The safety of driving cars could be signifcantly increased
by using driver assistance systems which interpret traffic
situations autonomously and support the driver。 Platform: |
Size: 13756416 |
Author:Chen Dengwu |
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Description: The number of accidents caused every year in India is approximately 1,06,531. 95 of these are attributed to drivers errors. Risk assessment is at the core of the road safety problem. This paper presents an Advanced Driving Assistance System (ADAS), called SAWUR, that analyses situational driver behavior and proposes realtime countermeasures to minimize fatalities/casualties. The system is based on Ubiquitous Data Mining (UDM) concepts.-The number of accidents caused every year in India is approximately 1,06,531. 95 of these are attributed to drivers errors. Risk assessment is at the core of the road safety problem. This paper presents an Advanced Driving Assistance System (ADAS), called SAWUR, that analyses situational driver behavior and proposes realtime countermeasures to minimize fatalities/casualties. The system is based on Ubiquitous Data Mining (UDM) concepts. Platform: |
Size: 24576 |
Author:skumar |
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Description: 驾驶辅助系统中的自适应人机交互。这是这个题材中专门探讨驾驶系统的。很有价值。-Adaptive driver assistance systems human-computer interaction. It is devoted to this subject in the driving system. Great value. Platform: |
Size: 834560 |
Author:bzcode |
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Description: An Innovative Non-intrusive Driver Assistance System for Vital Signal Monitoring IEEE 2014 Paper Platform: |
Size: 457728 |
Author:SKP |
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Description: This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat
roads, vanishing point is first estimated using Hough transform space to reduce the
computational complexity. Localization of vehicles is carried using horizontal projection on the
horizontal gradient image below vanishing point. An uppermost and lowermost peak in the
horizontal profile corresponds to search space of vehicles. Binarization of search space on the
horizontal gradient image is done using Otsu algorithm. Verification of vehicles is carried
through a series of rule based classifiers constructed using statistical moments, observing peaks
in vertical profiling, vehicle texture, symmetry and shadow property. Experimentation was
carried out on flat highway roads and detection rate of vehicles is nearly found to be 88.23 -This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat
roads, vanishing point is first estimated using Hough transform space to reduce the
computational complexity. Localization of vehicles is carried using horizontal projection on the
horizontal gradient image below vanishing point. An uppermost and lowermost peak in the
horizontal profile corresponds to search space of vehicles. Binarization of search space on the
horizontal gradient image is done using Otsu algorithm. Verification of vehicles is carried
through a series of rule based classifiers constructed using statistical moments, observing peaks
in vertical profiling, vehicle texture, symmetry and shadow property. Experimentation was
carried out on flat highway roads and detection rate of vehicles is nearly found to be 88.23 Platform: |
Size: 188416 |
Author:Chidanand |
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Description: 关键词 ：雷达 人工智能 识别
摘要：主要介绍了一种用于手势识别的线性调频雷达，重点介绍了距离-多普勒谱的人工智能信号处理与识别技术。-FMCW radar:
—Intelligent driver assistance systems have become important in the automotive industry. One key element of such systems is a smart user interface that tracks and recognizes drivers’ hand gestures. Hand gesture sensing using traditional computer vision techniques is challenging because of wide vari-
ations in lighting conditions, e.g. inside a car. A short-range radar device can provide additional information, including the
location and instantaneous radial velocity of moving objects. We
describe a novel end-to-end (hardware, interface, and software)
short-range FMCW radar-based system designed to effectively
sense dynamic hand gestures. We provide an effective method
for selecting the parameters of the FMCW waveform and for
jointly calibrating the radar system with a depth sensor. Finally,
we demonstrate that our system guarantees reliable and robust
performance. Platform: |
Size: 8013824 |
Author:fuhaijun |
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Search - driver assistance