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SOFTWARE The S32 Design Studio for ARM® The S32 Design Studio for Vision The Vision Toolbox for MATLAB® The Automotive Ethernet Audio Video Bridging (AVB) HARDWARE The SBC-S32V234 evaluation board The S32V234-EVB2 evaluation system The NXP Blue Box Autonomous Driving Development Platform TOOLS NEXT TOPIC
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The S32V234 is our 2nd generation vision processor family designed to support computation intensive applications for image processing and offers an ISP, powerful 3D GPU, dual APEX-2 vision accelerators, security and supports SafeAssure™. S32V234 is suited for ADAS, NCAP front camera, object detection and recognition, surround view, machine learning and sensor fusion applications. S32V234 is engineered for automotive-grade reliability, functional safety and security measures to support vehicle and industrial automation. S32V234 has a complete enablement platform supported by S32 Design Studio IDE for Vision which includes a compiler, debugger, Vision SDK, Linux BSP and graph tools. Video Link : 8296 The target applications for S32V234 are: Automotive Sensor Fusion Systems Automotive Vision Systems Front View Camera Intelligent Roadside Unit Smart  Rear-View Camera Surround View & Sense Park Assist System Surround View Park Assist System NEXT TOPIC
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WHAT YOU WILL LEARN: Understand the basic aspects of S32V234 vision processors, the second generation vision MPU family for supporting computation intensive applications for image processing 1.1 S32V overview High-level overview Target applications 1. 2 S32V enablement Software Hardware Tools
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Hi, I am currently working on SPI with DMA for S32V234. I have tested SPI code it is working fine. I am tested for SPI1 and chip select 0 and mode 3 it is working fine. Now i have to implement SPI with DMA code. Please see the below links i have taken as a reference for s32v234, I made little bit changes in that link source code. http://lists.infradead.org/pipermail/linux-arm-kernel/2014-February/235598.html https://www.toradex.com/community/questions/1961/vf61-linux-spi-dma-support.html 1. Can you please suggest which link is suitable for s32v234? 2. How to write dtsi for "spi with dma"? I wrote the below lines, when compiled it's getting error?      spi1: spi@400C0000 {                                 compatible = "fsl,s32v234-dspi";                                 reg = <0x0 0x400C0000 0x0 0x1000>;                                 interrupts = <0 62 4>;                                 clocks = <&clks S32V234_CLK_SYS6>;                                 clock-names = "dspi";                                 spi-num-chipselects = <4>;                                 bus-num = <1>;                                 spi-cpol;                                 spi-cpha;                                 /* TODO: Update the dma when edma ip is activated*/                                 use-dma;                                 dmas =  <&edma 12>,                                         <&edma 13>;                                 dma-names = "rx","tx";                                 status = "disabled";                 }; ERROR (phandle_references): Reference to non-existent node or label "edma" ERROR (phandle_references): Reference to non-existent node or label "edma" ERROR: Input tree has errors, aborting (use -f to force output) scripts/Makefile.lib:293: recipe for target 'arch/arm64/boot/dts/freescale/s32v234-evb.dtb' failed make[2]: *** [arch/arm64/boot/dts/freescale/s32v234-evb.dtb] Error 2 scripts/Makefile.build:403: recipe for target 'arch/arm64/boot/dts/freescale' failed make[1]: *** [arch/arm64/boot/dts/freescale] Error 2 arch/arm64/Makefile:89: recipe for target 'dtbs' failed make: *** [dtbs] Error 2 3. Please give do you have any reference code SPI with DMA for S32V234. I am waiting for your reply. Thanks & Regards, Ramanjineyulu.
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Index | Previous | Next This video will present the high level ISP architecture in the S32V234 with some background information.
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Index | Previous | Next This video introduces the concepts of Image Signal Processing for cameras like the ones typically applied to Raw camera data and that could be implemented in the S32V234 ISP.
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Index | Previous | Next Video goes on detail regarding the APU (Kernel) programming
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Index | Previous | Next This video provides a quick summary of the previously studied concepts regarding the Apex and image processing 
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Index | Previous | Next Explains the three main components of creating a kernel: Implementation, Metadata and Wrapper.
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Index | Previous | Next This video goes on detail over the different vector instructions supported by the vector engine
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