automobiles; field programmable gate arrays; image classification; image matching; object detection; real-time systems; road traffic; stereo image processing; traffic engineering computing; KITTI stereo vision benchmark; SGM aggregation; autonomous driving vehicles; camera based environment perception systems; cars detection; complexity reduction; computational complexity; cost aggregation buffering; cost computation algorithm; cost volume creation; data throughput; disparity map; disparity range; disparity selection; full parallel FPGA implementations; high quality real-time semiglobal matching stereo vision; high speed FPGA architecture; memory demand; memory requirements; objects depth; obstacles classification; real world images; real-time SGM; road scenes; small image sizes; stereo camera image sizes; stereo correspondence; stereo matching costs; transportation devices; Benchmark testing; Field programmable gate arrays; Memory management; Stereo vision; Throughput; Transforms;
机译:基于FPGA的实时遮挡强大的立体声视觉系统,使用半全局匹配
机译:FPGA上实时轮廓形状匹配立体视觉算法的硬件高效设计
机译:FPGA上实时轮廓形状匹配立体视觉算法的硬件高效设计
机译:匹配成本计算算法和高速FPGA架构,用于高质量实时半全球匹配立体声的道路场景
机译:立体视觉算法及其DSP实现,用于室内建筑场景的实时几何重建。
机译:一种改进的基于空间图像融合的车速测量系统立体声匹配算法
机译:基于FPGA的记忆高效半全局匹配变量密集的实时立体声匹配