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Road Pothole Detection Based on AlexNet for Autonomous ...
IEEE Xplore
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由 X Chen 著作2023被引用 1 次 — This paper proposes a novel training dataset and employs Alexnet Network to accurately detect road surface conditions in different environments.
有關 Road Pothole Detection Based on AlexNet for Autonomous Driving. 的學術文章 | |
Pothole detection using CNN and AlexNet - Srinidhi - 13 個引述 … optimization and transfer learning for self driving cars - Alhussan - 65 個引述 … Based Automated Detection and Classification of Road … - Bibi - 240 個引述 | |
Road Pothole Detection Based on AlexNet for Autonomous ...
IEEE Computer Society
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IEEE Computer Society
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由 X Chen 著作2023被引用 1 次 — This paper proposes a novel training dataset and employs Alexnet Network to accurately detect road surface conditions in different environments.
Road Pothole Detection Based on AlexNet for Autonomous ...
IEEE Xplore
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IEEE Xplore
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由 X Chen 著作2023被引用 1 次 — The goal of this paper is to develop an efficient algorithm for the detection and recognition of road conditions in various situations, provide reliable road ...
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Road Pothole Detection Based on AlexNet for Autonomous ...
ResearchGate
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ResearchGate
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This paper identifies important engine, alternator and battery characteristics needed for determining an appropriate engine control strategy for a series hybrid ...
Pothole Detection on Roads for Autonomous Vehicles ...
International Journal of Scientific Research and Reviews
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International Journal of Scientific Research and Reviews
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In this research various CNN deep learning architectures, AlexNet, LeNet and proposed Manual Network (MaNet) are trained to detect the potholes on the road ...
Research on Road Pothole Recognition Based on AlexNet ...
ResearchGate
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ResearchGate
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2024年10月18日 — Pothole and Plain Road Classification Using Adaptive Mutation Dipper Throated Optimization and Transfer Learning for Self Driving Cars.
Convolutional neural networks based potholes detection ...
ScienceDirect.com
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ScienceDirect.com
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由 Y Bhatia 著作2022被引用 193 次 — The objective of this work is to analyze the feasibility and accuracy of thermal imaging in the field of pothole detection.
Pothole detection for autonomous vehicles using deep ...
Frontiers
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Frontiers
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由 M Khan 著作2024被引用 7 次 — Our proposed system employs a deep learning methodology to identify real-time potholes, enabling autonomous vehicles to avoid potential hazards and minimise ...
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Evaluation of Pothole Detection Performance Using Deep ...
MDPI
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MDPI
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由 Y Zanevych 著作2024 — This paper presents a new method for detecting road potholes during low-light conditions, particularly at night when influenced by street and traffic lighting.
Automatic detection of potholes using VGG-16 pre-trained ...
ScienceDirect.com
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ScienceDirect.com
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由 S Swain 著作2024被引用 4 次 — A Convolutional Neural Network (CNN) is constructed to categorize potholes effectively using the VGG-16 pre-trained model as a transfer learning model.
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