IEEE

Enhanced Probabilistic Collision Detection for Motion Planning Under Sensing Uncertainty

Abstract: Probabilistic collision detection (PCD) is essential in motion planning for robots operating in unstructured environments, where considering sensing uncertainty helps prevent damage.
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
WAMC

A year after deadly midair collision near Washington, families push for safety changes

WASHINGTON — The smiling faces of some of the 67 people killed in the midair collision a year ago danced across the screen in a video montage at an emotional memorial event this week. At the same time ...
IEEE

Deep Learning-Based Collision-Aware Multi-User Detection for Channel-Modulated Codebooks in Grant-Free Sparse Code Multiple Access Systems

Abstract: In grant-free sparse code multiple access (SCMA) systems, each active user transmits data using randomly selected SCMA codebook along with its associated preamble. When multiple users select ...
WVTF

Investigators say deadly midair collision near DC followed years of ignored warnings about traffic

National Transportation Safety Board members were deeply troubled Tuesday over years of ignored warnings about helicopter traffic dangers and other problems, long before last year's midair collision ...
NPR

A year after the DCA midair collision, families of those killed push for changes

Nearly a year after the midair collision over the Potomac River, family members of the victims are still pushing for tougher restrictions in the congested airspace around the nation's capital. This ...