YOLOXYou only look once (YOLO)Yolov5YOLO-RYOLOYOLOv8YOLOv5You only look once v3 (YOLOv3)YouTubeyolo
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Zernike polynomialZebra EmbryoZERNIKE MOMENTSZero-Shot ClassificationZ-type SchlierenZero Parallax SettingZoom FatigueZERNIKEZEISSZ number
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0.8um pixel
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1 MICRON PIXELS133-MEGAPIXEL1st and 2nd FM generation 3D halftoning100 Hue test1/f noise108 Megapixel180 degree images1-bit matrix completion
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2-d scale2D metrics2D to Hologram conversion2D-plus-depth video2D and 3D video2D VIEWS2D DCT2.5D reconstruction2AFC2.5D2D2D printing2D-TO-3D CONVERSION ARTIFACTS2-D barcodes2.5D PRINTING2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5 D printing2D AND 3D CONVERTIBLE DISPLAY2.5D printing
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3D/4D Scanning3D-LUT3D video360 degrees video360-degree art exhibition3D CAMERAS360-degree image projection3D stereo vision3D perception360 panorama3D Morphable Model360-degree images3D Object Detection3D MODEL3D PRINTING3D theater program listing3D Measurement3D DIGITIZATION METHOD FOR OIL PAINTINGS3D-shooting3D position measurement of people3D Telepresence3D Data Processing3D shape indexing and retrieval3D mesh3D display3D-color perception3D refinement3D video processing3D scene classification3D warping3D objects3D surface3D Saliency3D optical scans3D data processing3D depth-map360-degree video streaming360-video3D mapping and localization360VR3D/4D Data Processing and Filtering3D image compression3D Digital Image Correlation3D Data Sources3D Halftoning3D camera3D-HEVC3D adaptive halftoning3D scene flow estimation3D connected tube model360-degree videos3D Video Communications3D/4D DATA PROCESSING AND FILTERING3D Shape Indexing and Retrieval3D EDUCATIONAL MATERIAL3D Tracking3D Range Data3D surface reproduction3D STACK3D Modeling3D TRANSFORMATION3D model3D Imaging3D compression360-degree Image360 IMAGING3D HALFTONING3D range scanning360° video3ARRI footage3D Curvelet3D depth sensing3D/2D Visuals3D modeling3D RECONSTRUCTION3D rigid transformations3D Immersion3D Vision3D digital halftoning360 degree images3D Range Data Compression3D capture3D Mapping3D scanning3D modelling3D recovery3D Printing3D Point Cloud3D affine transformation3D printing3D Communications360-degree content3D shape3D PRINTER3D INTERACTION360° VIDEO3D imaging3D audio3D ACQUISITION ARCHITECTURE3D RECOVERY3D printer3D Print Appearance3D colour Digital Image Correlation3D digitization and dissemination3D localization and mapping3D range geometry3D/4D SCANNING3D localization3D-assisted features3D Scene Reconstruction and Modeling3D-Anisotropic smoothing3DCNN3D human-centered technologies3D point cloud3D projector35MM FILM DIGITIZATION3D mesh simplification3d video3D STIMULI3D IMAGE3D vision3D3D encoding3D surface structure based halftoning3D COMPRESSION AND ENCRYPTION3D glasses3D Reconstruction360-degree imaging3D Color Printing3D-printing3d3D Range Data Encoding3D USER INTERFACES3D TV3D PROFILE3D cinema and TV3-D SHAPE RECOVERY360x3D scene capture3d mapping360 Video3A ALGORITHMS3D-high efficiency video coding3D visual representation3D DISPLAY3DMM3D Compression and Encryption3D VISUALIZATION3D reconstruction3D Iterative Halftoning360° STEREO PANORAMAS3D MESH3D Scene Reconstruction3D Lidar3D-CNN3DSR3D communications360-degree video3D displays360-degree3D Display3D MESHES3D Gaussian splatting3D Models3D Compression3D Computer Graphics3D object shape3D shape analysis360-deg quality assessment360-DEGREE IMAGE3D Video Conferencing3D Quality3D Image Processing3D RANGE IMAGING3d localization3-D RECONSTRUCTION3D MODELLING3D and 2D3D SCENE RECONSTRUCTION AND MODELING3D SHAPE INDEXING AND RETRIEVAL3D Meshes3D SALIENCY3D-human body detection3D recursive search3D Video3-T pixel3D print3D halftoning
The safe navigation of large commercial vehicles implies the extended need for the surveillance of the direct surroundings. Nowadays surround view systems show heavy distortions and only have a limited range around the vehicle which may not be far enough to detect obstacles or persons
early. We present a novel method which fuses an advanced perspectively correct surround view with an advanced obstacle detection. The method proposed is based on stereo vision and uses geometric modelling of the en- vironment using a grid map data structure. The grid map is pro- cessed by
a refinement algorithm to overcome limitations of the grid map when approximating shapes of the obstacles which are highlighted in the surround view.