AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Bionic LiDAR system achieves beyond-retinal resolution through adaptive focusing

In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest ...
IEEE

SP-Pillars: An Efficient LiDAR 3D Objects Detection Framework With Multi-Scale Feature Perception and Optimization

Abstract: In autonomous driving, achieving rapid detection of target categories and locations is a key technology. However, the data volume of radar point clouds is enormous, and processing efficiency ...
Carnegie Institution for Science

Cool, Luminous, and Highly Variable Stars in the Magellanic Clouds from ASAS-SN: Implications for Thorne-Zytkow Objects and Super-asymptotic Giant Branch Stars

O'Grady, Anna J. G.; Drout, Maria R.; Shappee, B. J.; Bauer, Evan B.; Fuller, Jim; Kochanek, C. S.; Jayasinghe, T.; Gaensler, B. M.; Stanek, K. Z.; Holoien, Thomas W ...
GitHub

A Hough-Space-based Nearest Neighbor Object Recognition Pipeline for Point Clouds

Over time, the framework was extended and became a general, local feature, Hough-Space voting approach for point cloud classification. It allows to classify point cloud objects and localize them ...
IEEE

SV-RCNN: Robust Structural-Encoded Voxel Features for 3D Object Detection on Sparse Point Clouds

Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...