Results 21 to 30 of about 81,844 (303)
Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains
IEEE Access, 2022 Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca +3 more
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Perspective chapter: Future perspectives of intelligent autonomous vehicles [PDF]
, 2023 The chapter explains the effects of intelligent autonomous vehicles from future perspectives. The chapter gives readers an overview of the future intelligent autonomous vehicles and promotes the development potential on intelligent.
Yin, Yuan
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IEEE Access, 2020 Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous ...
Abdelmoudjib Benterki +3 more
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Deep Meta-Learning Energy-Aware Path Planner for Unmanned Ground Vehicles in Unknown Terrains
IEEE Access, 2022 This paper presents an adaptive energy-aware prediction and planning framework for vehicles navigating over terrains with varying and unknown properties.
Marco Visca +3 more
doaj +1 more source
Review of Autonomous Intelligent Vehicles for Urban Driving and Parking
, 2021 With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks.
Cheng Siong Chin, Teck Kai Chan
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Autonomous Vehicles and Public Health [PDF]
Annual Review of Public Health, 2020 Autonomous vehicles (AVs) have the potential to shape urban life and significantly modify travel behaviors. “Autonomous technology” means technology that can drive a vehicle without active physical control or monitoring by a human operator. The first AV fleets are already in service in US cities.
David Rojas-Rueda +3 more
openaire +4 more sources
Intelligent CFAR Detector Based on Support Vector Machine
IEEE Access, 2017 In this paper, we propose an intelligent constant false alarm rate detector, which uses support vector machine (SVM) techniques to improve the radar detection performance in different background environments.
Leiou Wang, Donghui Wang, Chengpeng Hao
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Modelling tunnel thrusters for autonomous underwater vehicles [PDF]
, 2008 With 900 Autonomous Underwater Vehicles (AUVs) required over the next decade (Newman et al., 2007) existing survey-style AUVs need improved utilization factors.
Stevenson, P. +5 more
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Snow coverage estimation using camera data for automated driving applications
Transportation Research Interdisciplinary Perspectives, 2023 In the U.S., over 38,000 fatalities occur every year due to automotive accidents where 24% of these accidents are attributable to inclement weather.
Nicholas A. Goberville +5 more
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A Novel Multi-Scale Adaptive Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 Recently, the methods based on deep convolutional neural networks have shown superior performance on image restoration. By using a faster and deeper network, the existing methods have achieved the breakthroughs in speed and accuracy. But, they still work
Peng Liu, Ying Hong, Yan Liu
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