Results 21 to 30 of about 65,028 (265)
Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
IEEE Access, 2022 This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture ...
Roberto Castro +3 more
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Competitive Driving of Autonomous Vehicles
IEEE Access, 2022 12 ...
Gabriel Hartmann +2 more
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A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles
Sensors, 2020 We propose a log analysis framework for test driving of autonomous vehicles. The log of a vehicle is a fundamental source to detect and analyze events during driving.
Kyungbok Sung +3 more
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Lane Transformer: A High-Efficiency Trajectory Prediction Model
IEEE Open Journal of Intelligent Transportation Systems, 2023 Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not only improves the planning of future routes, but also ensures vehicle safety.
Zhibo Wang +5 more
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Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Frontiers in Future Transportation, 2023 Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
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Research on driving behavior decision making system of autonomous driving vehicle based on benefit evaluation model [PDF]
Archives of Transport, 2020 Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems.
Pengwei Wang +4 more
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Visual processing for autonomous driving [PDF]
[1992] Proceedings IEEE Workshop on Applications of Computer Vision, 2003 Describes a visual processing algorithm that supports autonomous road following. The algorithm requires that lane markings be present and attempts to track the lane markings on both lane boundaries. There are three stages of computation: extracting edges; matching extracted edge points with a geometric model of the road, and updating the geometric road
Schneiderman, H., Nashman, M.
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Scene Understanding for Autonomous Driving
CoRR, 2021 To detect and segment objects in images based on their content is one of the most active topics in the field of computer vision. Nowadays, this problem can be addressed using Deep Learning architectures such as Faster R-CNN or YOLO, among others. In this paper, we study the behaviour of different configurations of RetinaNet, Faster R-CNN and Mask R-CNN
Òscar Lorente, Ian Riera, Aditya Rana
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Flexural properties of 3D printed continuous flax fiber reinforced polyethylene composites [PDF]
PeerJ Materials ScienceNatural fibers are classified as green energy materials and have embodied the principles of sustainable development. This paper impregnated natural continuous flax fibers (CFF) with polyethylene (PE) on a self-developed melt impregnation device, obtained
Minggan Wang +5 more
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An adaptive system for autonomous driving [PDF]
Software Quality Journal, 2020 AbstractHaving systems that can adapt themselves in case of faults or changing environmental conditions is of growing interest for industry and especially for the automotive industry considering autonomous driving. In autonomous driving, it is vital to have a system that is able to cope with faults in order to enable the system to reach a safe state ...
Martin Zimmermann 0007, Franz Wotawa
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