Abstract: Mobile robotic systems serve as versatile platforms for diverse indoor applications, ranging from warehousing and manufacturing to test benches dedicated to evaluating automated driving (AD) ...

Abstract: Reconfigurable metasurfaces integrating numerous elements are one promising solution for empowering high-accuracy positioning applications, benefiting from their high spatial resolution, low ...

Abstract: Visible Light Communication (VLC) has been an appealing technology for accurate indoor positioning and orientation detection with high precision, boasting strengths of immunity to ...

Abstract: Video object segmentation (VOS) requires robust tracking and segmentation of objects over long video sequences. Existing methods often suffer from error ...

Abstract: Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices, playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based ...

Abstract: Internet of Things (IoT) technology can provide real-time public facilities data to Intelligent Transportation Systems (ITS), especially the surveillance cameras' video data. With the ...

Abstract: With the integration of 5G and IoT, high-precision indoor positioning is critical for industrial automation, yet traditional methods face challenges like multipath effects and high ...

Andy Hock, chief strategy officer at Cerebras Systems, walked onto the Main Stage at SuperAI Singapore 2026 on Wednesday carrying the company's Wafer Scale Engine — the physical chip itself — and held ...

In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education ...

Abstract: This paper presents a novel approach that integrates Time Difference of Arrival (TDOA)-based positioning with Multi-Agent Reinforcement Learning (MARL) to enhance the performance of Unmanned ...