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Comparative Analysis of Semantic Segmentation Architectures for Autonomous Vehicles in Weather Conditions

https://doi.org/10.2139/ssrn.4809359
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rob.21918openalex-extracted
A survey of deep learning techniques for autonomous driving
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-extracted
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01261-8_42openalex-extracted
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
inferredcites →https://doi.org/10.1007/978-3-030-96451-1_8openalex-extracted
Road Surface Translation Under Snow-Covered and Semantic Segmentation for Snow Hazard Index
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-extracted
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-67361-5_22openalex-extracted
Real-Time Semantic Mapping for Autonomous Off-Road Navigation
inferredcites →https://doi.org/10.1016/j.iatssr.2019.11.005openalex-extracted
Automated driving recognition technologies for adverse weather conditions
inferredcites →https://doi.org/10.1016/j.iatssr.2019.11.008openalex-extracted
Deep learning-based image recognition for autonomous driving
inferredcites →https://doi.org/10.1016/j.trpro.2018.10.103openalex-extracted
Autonomous vehicles: theoretical and practical challenges
inferredcites →https://doi.org/10.1109/comst.2018.2869360openalex-extracted
Autonomous Cars: Research Results, Issues, and Future Challenges
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-extracted
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-extracted
The Cityscapes Dataset for Semantic Urban Scene Understanding
inferredcites →https://doi.org/10.1109/eeccis49483.2020.9263459openalex-extracted
Artificial Neural Network Algorithm for Autonomous Vehicle Ultrasonic Multi-Sensor System
inferredcites →https://doi.org/10.1109/iccvw.2019.00290openalex-extracted
Advanced Pedestrian Dataset Augmentation for Autonomous Driving
inferredcites →https://doi.org/10.1109/iiphdw.2018.8388338openalex-extracted
Data augmentation for improving deep learning in image classification problem
inferredcites →https://doi.org/10.1109/indicon47234.2019.9030307openalex-extracted
A Convolutional Neural Network Approach Towards Self-Driving Cars
inferredcites →https://doi.org/10.1109/itec-india.2015.7386874openalex-extracted
Autonomous vehicles: The future of automobiles
inferredcites →https://doi.org/10.1109/itsc.2017.8317714openalex-extracted
Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges
inferredcites →https://doi.org/10.1109/mvt.2019.2892497openalex-extracted
The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-extracted
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/wpmc55625.2022.10014804openalex-extracted
Object Detection in Autonomous Vehicles
inferredcites →https://doi.org/10.1175/bams-d-19-0035.1openalex-extracted
Will Weather Dampen Self-Driving Vehicles?
inferredcites →https://doi.org/10.1186/s40537-019-0197-0openalex-extracted
A survey on Image Data Augmentation for Deep Learning
inferredcites →https://doi.org/10.17632/766ygrbt8y.3openalex-extracted
DAWN
inferredcites →https://doi.org/10.23919/fusion43075.2019.9011192openalex-extracted
Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion
inferredcites →https://doi.org/10.3390/app10082749openalex-extracted
A Survey on Theories and Applications for Self-Driving Cars Based on Deep Learning Methods
inferredcites →https://doi.org/10.3390/s21134503openalex-extracted
Data Augmentation of Automotive LIDAR Point Clouds under Adverse Weather Situations
inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-extracted
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.5244/c.35.396openalex-extracted
Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
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