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Assessment of Deep Convolutional Neural Networks for Road Surface
  Classification
v1v2 (latest)

Assessment of Deep Convolutional Neural Networks for Road Surface Classification

International Conference on Intelligent Transportation Systems (ITSC), 2018
24 April 2018
Marcus Nolte
Nikita Kister
Markus Maurer
ArXiv (abs)PDFHTML

Papers citing "Assessment of Deep Convolutional Neural Networks for Road Surface Classification"

16 / 16 papers shown
RoadMamba: A Dual Branch Visual State Space Model for Road Surface Classification
RoadMamba: A Dual Branch Visual State Space Model for Road Surface Classification
Tianze Wang
Zhang Zhang
Chao Yue
Nuoran Li
Chao Sun
Mamba
153
1
0
02 Aug 2025
RoadFormer : Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving
RoadFormer : Local-Global Feature Fusion for Road Surface Classification in Autonomous Driving
Tianze Wang
Zhang Zhang
Chao Sun
201
2
0
03 Jun 2025
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic
  Safety
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety
Ronghui Zhang
Steve Yang
Dakang Lyu
Zihan Wang
Junzhou Chen
Yilong Ren
Bolin Gao
Zhihan Lv
191
2
0
22 Oct 2024
Improving classification of road surface conditions via road area
  extraction and contrastive learning
Improving classification of road surface conditions via road area extraction and contrastive learning
L. Trinh
Ali Anwar
Siegfried Mercelis
227
2
0
19 Jul 2024
Multiple data sources and domain generalization learning method for road
  surface defect classification
Multiple data sources and domain generalization learning method for road surface defect classification
L. Trinh
Ali Anwar
Siegfried Mercelis
173
3
0
14 Jul 2024
Road Surface Friction Estimation for Winter Conditions Utilising General
  Visual Features
Road Surface Friction Estimation for Winter Conditions Utilising General Visual Features
Risto Ojala
Eerik Alamikkotervo
98
4
0
25 Apr 2024
Lightweight Regression Model with Prediction Interval Estimation for
  Computer Vision-based Winter Road Surface Condition Monitoring
Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-based Winter Road Surface Condition MonitoringIEEE Transactions on Intelligent Vehicles (TIV), 2023
Risto Ojala
Alvari Seppänen
172
13
0
02 Oct 2023
Continual Cross-Dataset Adaptation in Road Surface Classification
Continual Cross-Dataset Adaptation in Road Surface Classification
Paolo Cudrano
Matteo Bellusci
Giuseppe Macino
Matteo Matteucci
CLL
244
2
0
05 Sep 2023
Exploring Self-Attention for Visual Intersection Classification
Exploring Self-Attention for Visual Intersection ClassificationJournal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 2022
Haruki Nakata
Kanji Tanaka
Koji Takeda
120
0
0
26 Mar 2022
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road
  Surface Anomaly Detection
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly DetectionIEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING (IEEJ Trans. Electr. Electron. Eng.), 2021
Yeonghyeon Park
JongHee Jung
349
4
0
22 Nov 2021
Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion
  Planning and Control
Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion Planning and ControlInternational Conference on Intelligent Transportation Systems (ITSC), 2021
Lars Svensson
Martin Törngren
104
11
0
14 May 2021
Design of Efficient Deep Learning models for Determining Road Surface
  Condition from Roadside Camera Images and Weather Data
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
Juan Carrillo
Mark Crowley
Guangyuan Pan
L. Fu
102
7
0
22 Sep 2020
Traction Adaptive Motion Planning at the Limits of Handling
Traction Adaptive Motion Planning at the Limits of HandlingIEEE Transactions on Control Systems Technology (TCST), 2020
Lars Svensson
Monimoy Bujarbaruah
Arpit Karsolia
C. Berger
Martin Törngren
153
10
0
09 Sep 2020
Near real-time map building with multi-class image set labelling and
  classification of road conditions using convolutional neural networks
Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networksApplied Artificial Intelligence (AAI), 2020
S. Ramanna
Cenker Sengoz
S. Kehler
D. Pham
144
15
0
27 Jan 2020
Deep Learning in the Automotive Industry: Recent Advances and
  Application Examples
Deep Learning in the Automotive Industry: Recent Advances and Application Examples
Kanwar Bharat Singh
M. Arat
OOD
135
24
0
20 Jun 2019
Use of First and Third Person Views for Deep Intersection Classification
Use of First and Third Person Views for Deep Intersection Classification
Koji Takeda
Kanji Tanaka
106
1
0
22 Jan 2019
1