What Seyond’s Latest Developments Could Mean for the Future of LiDAR and Physical AI

Seyond operates as one of the few automotive-grade LiDAR manufacturing facilities in the US and boasts a production footprint that provides customers with added assurance regarding origin, quality ...
Tech Xplore

Brain-like chips and LIDAR sensors may enable safer human-robot teamwork

Robotics technology that not only performs simple tasks but also supports humans in all their tasks is among the key technologies in industrial manufacturing. But this requires that robots be able to ...
GitHub

Do monetary policy shocks affect output, employment, and prices? Meta-analyses on the effects of conventional monetary policy

This repository contains raw and processed data, replication files and documentation for our meta-study on the macroeconomic effects of conventional monetary policy. Below, we provide guidance on our ...
IEEE

Dynamic Fusion of Hyperspectral and LiDAR Data for Target Detection

Abstract: Hyperspectral target detection has achieved significant progress by exploiting the rich spectral and spatial information. However, the spectral similarity between different types of land ...
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 ...
IEEE

MMD-MLP: LiDAR-Guided Hyperspectral Data Classification Using Local–Global Directional-MLP With Multiresolution Multiscale Representation

Abstract: Hyperspectral images (HSIs) are rich in spectral information and are widely used in the field of land-cover classification. However, existing deep learning methods ignore the combination of ...