IEEE

An Efficient Implementation of Small-Precision Floating-point Matrix Multiplication for AI-Based Image Processing Applications

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...
IEEE

End-to-End 2D-3D Registration Between Image and LiDAR Point Cloud for Vehicle Localization

Abstract: Robot localization using a built map is essential for a variety of tasks including accurate navigation and mobile manipulation. A popular approach to robot localization is based on ...
IEEE

A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications

Abstract: Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth ...
IEEE

Near Optimal Hybrid Digital-Analog Beamforming for mmWave Point-to-Point MIMO Transmissions Using OTFS Waveforms

Abstract: In this paper, a point-to-point (P2P) orthogonal time frequency space (OTFS)-based multiple-input multiple-output (MIMO-OTFS) transmission scheme is devised for millimeter wave (mmWave) ...
IEEE

Utilizing Various Filtering Methodologies in Digital Image Processing

Abstract: The development of efficient noise reduction techniques is imperative to maintain the quality and features of digital images, as they are essential in numerous key applications. Specifically ...
IEEE

Breast Cancer Detection Using Mammography: Image Processing to Deep Learning

Abstract: Breast cancer stands as a predominant health concern for women globally. As mammography is the primary screening tool for breast cancer detection, improving the detection of breast cancer at ...
IEEE

IGReg: Image-Geometry-Assisted Point Cloud Registration via Selective Correlation Fusion

Abstract: Point cloud registration suffers from repeated patterns and low geometric structures in indoor scenes. The recent transformer utilises attention mechanism to capture the global correlations ...
IEEE

Cross Fusion of Point Cloud and Learned Image for Loop Closure Detection

Abstract: Loop closure detection (LCD) plays a crucial role in simultaneous localization and mapping (SLAM) systems to eliminate accumulated odometry drifts as the map is built, and using multi-modal ...
IEEE

CoFiI2P: Coarse-to-Fine Correspondences-Based Image to Point Cloud Registration

Abstract: Image-to-point cloud (I2P) registration is a fundamental task for robots and autonomous vehicles to achieve cross-modality data fusion and localization. Current I2P registration methods ...
IEEE

Infrared thermal image-point cloud fusion method for small power equipment based on depth feature and improved SIFT

Abstract: Aiming at the difficulty in detecting the heating state of small power equipment and the limitations of traditional infrared temperature detection technology, which provides thermal field ...
Fast Company

Digital surveys may have hit the AI point of no return

There’s bad news for those using digital surveys to try to understand people’s online behavior: We may no longer be able to determine whether a human is responding to them or not, a recent study has ...