Object tracking from moving platform (new) for Velodyne HDL64 sensor Preliminary demo, to be published soon, 2016 |
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Object recognition with deep learning (new) for Velodyne HDL64 sensor Preliminary demo, to be published soon, 2016 |
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Crossmodal Point Cloud Registration for Mobile Laser Scanning Data (new) tested with Velodyne HDL64, VLP16 and Riegl VMX450 sensors Published @ International Conference on Pattern Recognition 2016 |
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GPS/IMU free SLAM for Velodyne HDL64 and VLP16 sensors (new) Published @ International Conference on Pattern Recognition 2016 |
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Fast 3-D Urban Object Detection on Streaming Point Cloud: we present a simple, yet efficient hierarchical grid data structure and corresponding algorithms that significantly improve the processing speed of the object detection task. Published @ Road Scene Understanding and Autonomous Driving at ECCV'14 |
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Zebra crossing and street object detection we perform real-time localization and identification of typical urban objects, such as traffic signs, vehicles or crosswalks. Published @ CogInfoCom 2013, |
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Point cloud filtering: vegetation detection, point cloud enhancement, and moving-static object separation Published @ IEEE Int'l Workshop on Content-Based Multimedia Indexing, 2013 |
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Data aquisition point cloud sequences are obtained from a moving vehicle, using a Velodyne HDL-64E Rotating Multi-Beam LIDAR sensor. |