Convolutional Neural Networks for vehicle damage detection
Vehicle damages are increasingly becoming a liability for shared mobility services. The large number of handovers between drivers demands for an accurate and fast inspection system, which locates small damages and classifies these into the correct damage category. To address this, a damage detection...
Main Authors: | R.E. van Ruitenbeek, S. Bhulai |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
|
Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022000433 |
Similar Items
-
Vehicle detection systems for intelligent driving using deep convolutional neural networks
by: Rahib Abiyev, et al.
Published: (2023-05-01) -
Embedded system for road damage detection by deep convolutional neural network
by: Siyu Chen, et al.
Published: (2019-09-01) -
Automatic Recognition of Road Damage Based on Lightweight Attentional Convolutional Neural Network
by: Han Liang, et al.
Published: (2022-12-01) -
Deep Convolutional Networks for Construction Object Detection Under Different Visual Conditions
by: Nipun D. Nath, et al.
Published: (2020-08-01) -
Object Detection and Depth Estimation Approach Based on Deep Convolutional Neural Networks
by: Huai-Mu Wang, et al.
Published: (2021-07-01)