ArticleSensors (Basel, Switzerland)2021
Smart Pothole Detection Using Deep Learning Based on Dilated Convolution.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review.Sensors (Basel, Switzerland) · 2022Pooled it
- PotholeBAF-Net: Boundary-Aware Fusion Network with Low-Rank Transformer Bridge for Zero-Shot Cross-Dataset Pothole Segmentation.Sensors (Basel, Switzerland) · 2026Article
- OCDBMamba: A Robust and Efficient Road Pothole Detection Framework with Omnidirectional Context and Consensus-Based Boundary Modeling.Sensors (Basel, Switzerland) · 2026Article
- Transformer-CNN Hybrid Framework for Pavement Pothole Segmentation.Sensors (Basel, Switzerland) · 2025Article
- Using deep learning models to decode emotional states in horses.Scientific reports · 2025Article
- Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage.International journal of molecular sciences · 2023Article
- A Lightweight Recognition Method for Rice Growth Period Based on Improved YOLOv5s.Sensors (Basel, Switzerland) · 2023Article
- Deep Learning-Based TEM Image Analysis for Fully Automated Detection of Gold Nanoparticles Internalized Within Tumor Cell.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2023Article
- Computer Vision Based Pothole Detection under Challenging Conditions.Sensors (Basel, Switzerland) · 2022Article
- Dataset of road surface images with seasons for machine learning applications.Data in brief · 2022Article
- Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection.Sensors (Basel, Switzerland) · 2022Article
- Dilated convolution capsule network for apple leaf disease identification.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Roads make a huge contribution to the economy and act as a platform for transportation. Potholes in roads are one of the major concerns in transportation infrastructure. A lot of research has proposed using computer vision techniques to automate pothole detection that include a wide range of image processing and object detection algorithms. There is a need to automate the pothole detection process with adequate accuracy and speed and implement the process easily and with low setup cost. In this paper, we have developed efficient deep learning convolution neural networks (CNNs) to detect potholes in real-time with adequate accuracy. To reduce the computational cost and improve the training results, this paper proposes a modified VGG16 (MVGG16) network by removing some convolution layers and using different dilation rates. Moreover, this paper uses the MVGG16 as a backbone network for the Faster R-CNN. In addition, this work compares the performance of YOLOv5 (Large (Y
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