Results 21 to 30 of about 31,035 (260)
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
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Autonomous Vehicle Safety [PDF]
IEEE Communications Magazine, 2021 IoT/Smart City is a new paradigm and not merely a linear extension of the past Internet. It provides basic services as well as innovative services that can enrich human life. However, the security challenges will be huge due to the large number of deployed devices, open interfaces and possibilities of insider attacks.
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Autonomous Vehicle: Security by Design [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2021 Security of (semi)-autonomous vehicles is a growing concern, first, due to the increased exposure of the functionality to potential attackers; second, due to the reliance of functionalities on diverse (semi)-autonomous systems; third, due to the interaction of a single-vehicle with myriads of other smart systems in urban traffic infrastructure.
Anupam Chattopadhyay +2 more
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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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Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System
Sensors, 2022 Positioning systems are used in a wide range of applications which require determining the position of an object in space, such as locating and tracking assets, people and goods; assisting navigation systems; and mapping. Indoor Positioning Systems (IPSs)
Paolo Grasso +4 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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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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Deep Differential Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 The deep convolutional neural networks and residual networks have shown great success and high-quality reconstruction for single image super-resolution.
Peng Liu, Ying Hong, Yan Liu
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Multi-Branch Deep Residual Network for Single Image Super-Resolution
Algorithms, 2018 Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance.
Peng Liu, Ying Hong, Yan Liu
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