Interactive segmentation has an important role in facilitating the annotation process of future LiDAR datasets. Existing approaches sequentially segment individual objects at each LiDAR scan, repeating the process throughout the entire sequence, which is redundant and ineffective.
Oct 10, 2024
At last, the experimental results show that this interactive segmentation method of LiDAR data is able to accurately locate the buildings region with less ...
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In order to alleviate the problems inherent of automatic segmentation of LiDAR data, an interactive graph-cut segmentation method of LiDAR data is proposed.
Oct 10, 2024 · In this work, we propose interactive 4D segmentation, a new paradigm that allows segmenting multiple objects on multiple LiDAR scans ...
Missing: Method | Show results with:Method
TL;DR: Interactive 4D segmentation is a new paradigm that segments multiple objects across consecutive LiDAR scans in a single step, improving efficiency ...
Our work uses an efficient spherical projection method to LiDAR point clouds data and proposes an edge-guided semantic segmentation network for unstructured ...
Oct 23, 2022 · Online Segmentation of LiDAR Sequences ... The first set of methods that operate on rotating LiDAR sequences processes data in range image format ...
Missing: Interactive Method
This work proposes methods for segmenting sparse point clouds from rotating LIDAR sensors such as the Velodyne HDL-64E using rectangular and radial grids ...
Missing: Interactive | Show results with:Interactive
This example shows how to train a PointSeg semantic segmentation network on 3-D organized lidar point cloud data. PointSeg [1] is a convolutional neural ...
This paper investigates a method for semantic segmen- tation of small objects in terrestrial LIDAR scans in urban environments.