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 ...
Phys.org

Ultra-high-resolution lidar reveals hidden cloud structures

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing instrument—that can observe cloud ...
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 ...
IEEE

Adaptive-Cloud: Dynamic Computation Control for 3D Object Detection From LIDAR Point Clouds

Abstract: In this work, we introduce an adaptive hierarchical framework for efficient 3D object detection from point cloud data, designed to dynamically balance computational efficiency and detection ...