Abstract: Formation control algorithms are a prominent area of study in the domain of drones and drone swarms. The goal of the formation control algorithms is to manage and manipulate individuals to ...
Abstract: Normal estimation is a critical task in point cloud analysis, especially in cultural heritage preservation and digitization. However, due to errors from acquisition devices and environmental ...
Abstract: To enhance the information encoding of point cloud geometry and multi-feature utilization, thereby further improving the accuracy of 3D point cloud semantic segmentation, this paper proposes ...
Abstract: Navigating a busy cityscape with a fleet of autonomous vehicles requires each to seamlessly maneuver through traffic with split-second decisions. Path planning is the backbone of such ...
Abstract: With the rapid progression of communication and localisation of big data over billions of devices, distributed Machine Learning (ML) techniques are emerging to cater for the development of ...
Abstract: Doppler radar is a cost-effective Internet of Things (IoT) device widely utilized in smart homes, urban management, and health monitoring. Conventional Doppler radars, which detect targets ...
Abstract: By equipping the synthetic aperture radar (SAR) sensors on multiple unmanned aerial vehicles (UAVs) to form a UAV swarm (UAVS) and operate collaboratively, UAVS-SAR presents the significant ...
HOUSTON, February 09, 2026--(BUSINESS WIRE)--Resilient Structures (RS), a leading manufacturer of high-performance composite utility poles, today announced a long-term supply agreement with ...
Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
Abstract: In this paper, Johnson's Algorithm is employed for Big Data shortest route analysis. Its efficiency and efficacy in managing massive datasets to improve data processing and decision-making ...
Abstract: The paper proposes a variant of the Iterative Closest Point (ICP) algorithm for point cloud registration that addresses two main issues with existing ICP-based algorithms: the lack of ...
Abstract: Point-cloud registration and stitching are important topics in the field of robot navigation and 3D reconstruction, e.g., the accuracy of point cloud registration and stitching in robot ...
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