Abstract: The rapid development of modern urban public transportation and people’s demand for efficient transportation have made intelligent management of urban public transportation networks a hot ...
Artificial intelligence is everywhere. It drafts emails, summarizes meetings, and answers questions in seconds. Used well, it can improve efficiency and clarity. Used poorly, it can create false ...
A YouTube channel named 9nl has developed an open-source project on GitHub that is gaining attention for its approach to 3D reconstruction using point cloud data. The system combines both hardware and ...
Abstract: Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), utilizing a 532 nm green laser, provides critical data for high-precision depth measurements in shallow water areas. However, due to ...
This tutorial implements the Multiple Signal Classification (MUSIC) Algorithm [1] on the AI Engine. MUSIC is a popular algorithm for Direction of Arrival (DOA) estimation in antenna array systems.
Abstract: Photovoltaic arrays receive varying levels of solar radiation due to factors such as shadows created by clouds, surrounding buildings, and other obstructions. Therefore, an effective Maximum ...
Abstract: Point cloud registration is a key computer vision task that must be solved in most modern pipelines for 3-D data processing. Iterative Closest Point (ICP) algorithms are one of the most ...
Abstract: In this work, we propose a voxel-based single-stage fine-grained and efficient point cloud 3D object detection algorithm to address the inadequate granularity in point cloud feature ...
Abstract: The Discrete Fourier Transform (DFT) algorithm is widely used in signal processing and communication systems to transform the signal to the frequency-domain. As real-time signal analysis is ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
Abstract: Conventional time-of-arrival localization methods often suffer from performance degradation in the presence of outliers. To address this issue, a robust framework is proposed to mitigate the ...
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