Description
PolarNet is an improved grid representation for online, single-scan LiDAR point clouds. Instead of using common spherical or bird's-eye-view projection, the polar bird's-eye-view representation balances the points across grid cells in a polar coordinate system, indirectly aligning a segmentation network's attention with the long-tailed distribution of the points along the radial axis.
Papers Using This Method
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation2023-09-27Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data2022-05-29PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain2021-03-04PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection2021-01-01Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds2020-11-03PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation2020-03-31