Abstract: Low-latency communication plays an increasingly important role in delay-sensitive applications by ensuring the real-time information exchange. However, due to the constraint on the maximum ...

Abstract: The trajectory planning of multiple unmanned aerial vehicles (UAVs) is the core of efficient UAV mission execution. Existing studies have mainly transformed this problem into a ...

Abstract: Complex-valued convolution neural networks (CVCNNs) have been recently applied for modulation recognition (MR), due to its ability to capture the relationship between the real and imaginary ...

Abstract: Autonomous berthing is the last crucial step in achieving full autonomy for unmanned surface vehicles (USVs). It can be transformed into a trajectory-tracking problem. A novel autonomous ...

Abstract: In this study, we proposed an enhanced mode P-GaN/AlGaN/GaN metal-insulator-semiconductor high electron mobility transistors (MIS-HEMTs) by combining thermal oxidation treatment of P-GaN ...

Abstract: The thriving domain of the Internet of Bio-Nano Things (IoBNT) promises revolutionary advances in biomedicine, enabling biosensing, health monitoring, and therapeutic capabilities at the ...

Abstract: Although weakly-supervised techniques can reduce the labeling effort, it is unclear whether a saliency model trained with weakly-supervised data (e.g., point annotation) can achieve the ...

Abstract: Object detection is critical for autonomous vehicles. It enables safe and efficient autonomous driving. However, variations in weather conditions, such as night, fog, rain, and snow, ...

Abstract: Multimodal image matching is essential in image stitching, image fusion, change detection, and land cover mapping. However, the severe nonlinear radiometric distortion (NRD) and geometric ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6221036 ...

Abstract: In the field of autonomous driving and mobile robotics, constructing high-precision prior maps is a significant problem. For large outdoor scenes, maps often need to be segmented or ...

Abstract: 3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception. However, current 3D trackers face issues with ...