6533b831fe1ef96bd129987f
RESEARCH PRODUCT
Space variant vision and pipelined architecture for time to impact computation
I. LlorensF. MicoFernando PardoJose Antonio Boludasubject
PixelComputer sciencebusiness.industryComputationBandwidth (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingRemotely operated underwater vehicleFrame rateComputer Science::Computer Vision and Pattern RecognitionDigital image processingComputer visionArtificial intelligencebusinessField-programmable gate arraydescription
Image analysis is one of the most interesting ways for a mobile vehicle to understand its environment. One of the tasks of an autonomous vehicle is to get accurate information of what it has in front, to avoid collision or find a way to a target. This task requires real-time restrictions depending on the vehicle speed and external object movement. The use of normal cameras, with homogeneous (squared) pixel distribution, for real-time image processing, usually requires high performance computing and high image rates. A different approach makes use of a CMOS space-variant camera that yields a high frame rate with low data bandwidth. The camera also performs the log-polar transform, simplifying some image processing algorithms. One of this simplified algorithms is the time to impact computation. The calculation of the time to impact uses a differential algorithm. A pipelined architecture specially suited for differential image processing algorithms has been also developed using programmable FPGAs.
year | journal | country | edition | language |
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2002-11-07 |