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基于MTK6582 的平台上 Android 系统的传感器模块进行移植和 开发，对 Android 系统框架和开发环境进行了简介，对 Android 系统的传感器模 块的驱动层和硬件抽象层的开发进行深入的分析与研究

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新！经典！排印错误已更正。 Jitendra R. Raol, "Multi-Sensor Data Fusion with MATLAB" CRC Press | English | 2009-12-16 | ISBN: 1439800030 | 570 pages | PDF | Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering.

OmniVision's OV16860 is a high performance 16-megapixel PureCel®Plus-S image sensor designed for high-end smartphones and action cameras. Compared to previous generation 16-megapixel sensors, the OV16860 delivers improved low-light performance and faster readout architecture with a larger 1.3-micron pixel, enabling full resolution recording at 45 frames per second (fps). The sensor also supports advanced features such as high dynamic range (HDR), and phase detection autofocus (PDAF). OmniVision's new PureCel®Plus-S architecture and larger pixel size offer a number of pixel performance improvements over traditional 1.12-micron 16-megapixel sensors, including a 33 percent improvement in full-well capacity, a 40 percent improvement in low light performance and dramatically reduced pixel crosstalk. The 1/2.4-inch OV16860 supports high-quality slow motion video capture with full field of view (FOV). The sensor can capture 16-megapixel images and video at 45 fps, ultra-high resolution 4K2K video at 60 fps, and 1080p high definition (HD) video at 120 fps via high speed D-PHY and C-PHY interfaces. Additionally, the OV16860 combines advance process and design optimization to enable nominal operating digital voltage (DVDD) spec of 1.2V.