A federal court on Tuesday blocked Texas from using a redrawn U.S. House map that touched off a nationwide redistricting battle and is a major piece of President Donald Trump’s efforts to preserve a ...

Event-based cameras are sensors inspired by the human eye, offering advantages such as high-speed robustness and low power consumption. Established deep learning techniques have proven effective in ...

Abstract: Effective solution of foreign object detection (FOD) in the charging area is crucial for ensuring safety and efficiency in wireless charging for electric ...

Abstract: Multi-sensor fusion significantly enhances the accuracy and robustness of 3D semantic occupancy prediction, which is crucial for autonomous driving and robotics. However, most existing ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

The TCRT5000 sensor is an infrared reflective sensor. This library is written to use with a TCRT5000 breakout's analog output and handle a threshold in software. These breakouts have typical two ...

Earth’s Moon makes eclipses clean and circular - but other worlds don’t follow our rules. Moons the size of Manhattan or rings like Saturn’s block their suns in chaotic, alien ways. These are ...

A solo Bitcoin miner successfully mined Bitcoin block 887,212 using a pocket-sized Bitaxe machine and banked around $263,000. A solo Bitcoin miner using a relatively cheap, pocket-sized crypto mining ...

State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054 ...

Object detection plays a crucial role in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on conventional frame-based RGB sensors.