Viimeksi syötetyt Rinnakkaistallenteet
Aineistot 10961-10980 / 19248
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Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation
<p>Autonomous harvesting and transportation is a long-term goal of the forest industry. One of the main challenges is the accurate localization of both vehicles and trees in a forest. Forests are unstructured environments ... -
Long-Term Autonomy in Forest Environment Using Self-Corrective SLAM
<p>Vehicles with prolonged autonomous missions have to maintain environment awareness by simultaneous localization and mapping (SLAM). Closed-loop correction used for SLAM consistency maintenance is proposed to be substituted ... -
Artificial Intelligence at the Edge in the Blockchain of Things
<p>Traditional cloud-centric architectures for Internet-of-Things applications are being replaced by distributed approaches. The Edge and Fog computing paradigms crystallize the concept of moving computation towards the ... -
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Nimetön
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Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots
<p><br></p><p>As autonomous robots are becoming more widespread, more attention is being paid to the security of robotic operation. Autonomous robots can be seen as cyberphysical systems: they can operate in virtual, ... -
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
Procedia Computer Science<p>The integration of edge computing in next-generation mobile networks is bringing low-latency and high-bandwidth ubiquitous connectivity to a myriad of cyber-physical systems. This will further boost the increasing ... -
Edge AI and Blockchain for Privacy-Critical and Data-Sensitive Applications
<p>The edge and fog computing paradigms enable more responsive and smarter systems without relying on cloud servers for data processing and storage. This reduces network load as well as latency. Nonetheless, the addition ... -
Nimetön
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Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain
With an increasing penetration of ubiquitous connectivity, the amount of data describing the actions of end-users has been increasing dramatically, both within the domain of the Internet of Things (IoT) and other smart ... -
Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks
<p>Remote healthcare monitoring has exponentially<br />grown over the past decade together with the increasing penetration<br />of Internet of Things (IoT) platforms. IoT-based health<br />systems help to improve the quality ... -
Autocalibration of a Mobile UWB Localization System for Ad-Hoc Multi-Robot Deployments in GNSS-Denied Environments
CEUR Workshop Proceedings<p>Ultra-wideband (UWB) wireless technology has seen an increased penetration in the robotics field as a robust localization method in recent years. UWB enables high accuracy distance estimation from time-of-flight ... -
Visual Odometry Offloading in Internet of Vehicles with Compression at the Edge of the Network
<p>A recent trend in the IoT is to shift from traditional cloud-centric applications towards more distributed approaches embracing the fog and edge computing paradigms. In autonomous robots and vehicles, much research has ... -
Edge Computing for Mobile Robots: Multi-Robot Feature-Based Lidar Odometry with FPGAs
<p>Offloading computationally intensive tasks such as lidar or visual odometry from mobile robots has multiple benefits. Resource constrained robots can make use of their network capabilities to reduce the data processing ... -
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UWB-based localization for multi-UAV systems and collaborative heterogeneous multi-robot systems
Procedia Computer Science<p>Ultra-wideband technology has emerged in recent years as a robust solution for localization in GNSS denied environments. In particular, its high accuracy when compared to other wireless localization solutions is enabling ...
