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ASA-BiSeNet: improved real-time approach for road lane semantic segmentation of low-light autonomous driving road scenes

https://doi.org/10.1364/ao.486302
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/s13369-019-03729-6openalex-snapshot
An Improved Illumination Normalization and Robust Feature Extraction Technique for Face Recognition Under Varying Illuminations
inferredcites →https://doi.org/10.1007/s13369-020-04810-1openalex-snapshot
Investigating the Efficiency and Safety of Signalized Intersections Under Mixed Flow Conditions of Autonomous and Human-Driven Vehicles
inferredcites →https://doi.org/10.1016/j.asoc.2022.108582openalex-snapshot
Feature fusion and kernel selective in Inception-v4 network
inferredcites →https://doi.org/10.1016/j.chaos.2021.111722openalex-snapshot
A deep learning based fast lane detection approach
inferredcites →https://doi.org/10.1016/j.patcog.2016.06.008openalex-snapshot
LLNet: A deep autoencoder approach to natural low-light image enhancement
inferredcites →https://doi.org/10.1016/j.patcog.2020.107623openalex-snapshot
A review of lane detection methods based on deep learning
inferredcites →https://doi.org/10.1049/itr2.12086openalex-snapshot
End‐to‐end autonomous driving decision model joined by attention mechanism and spatiotemporal features
inferredcites →https://doi.org/10.1109/83.557356openalex-snapshot
Properties and performance of a center/surround retinex
inferredcites →https://doi.org/10.1109/cvpr14067.2009openalex-snapshot
2009 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr40276.2018openalex-snapshot
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/icme51207.2021openalex-snapshot
2021 IEEE International Conference on Multimedia and Expo (ICME)
inferredcites →https://doi.org/10.1109/icra.2019.8793742openalex-snapshot
Learning to Drive in a Day
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/lsp.2014.2372333openalex-snapshot
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics
inferredcites →https://doi.org/10.1109/tip.2016.2639450openalex-snapshot
LIME: Low-Light Image Enhancement via Illumination Map Estimation
inferredcites →https://doi.org/10.1109/tip.2021.3051462openalex-snapshot
EnlightenGAN: Deep Light Enhancement Without Paired Supervision
inferredcites →https://doi.org/10.1109/tits.2022.3177615openalex-snapshot
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes
inferredcites →https://doi.org/10.1109/tpami.2021.3063604openalex-snapshot
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
inferredcites →https://doi.org/10.1109/tsmc.2018.2868372openalex-snapshot
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles
inferredcites →https://doi.org/10.1142/s0218001422520048openalex-snapshot
Class Highlight Generative Adversarial Networks for Strip Steel Defect Classification
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3343031.3350926openalex-snapshot
Kindling the Darkness
inferredcites →https://doi.org/10.1364/ao.449589openalex-snapshot
MAFFNet: real-time multi-level attention feature fusion network with RGB-D semantic segmentation for autonomous driving
inferredcites →https://doi.org/10.1364/ao.463099openalex-snapshot
Non-uniform illumination underwater image enhancement via events and frame fusion
inferredcites →https://doi.org/10.1364/ao.55.009625openalex-snapshot
Edge detection based on Retinex theory and wavelet multiscale product for mine images
inferredcites →https://doi.org/10.48550/arxiv.1711.02488openalex-snapshot
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
inferredcites →https://doi.org/10.52202/079017openalex-snapshot
Advances in Neural Information Processing Systems 37

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4686176openalex-extracted
Darksegnet: Low-Light Semantic Segmentation Network Based on Image Pyramid
inferred← citeshttps://doi.org/10.1016/j.image.2025.117265openalex-snapshot
DarkSegNet: Low-light semantic segmentation network based on image pyramid
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132335openalex-snapshot
An end-to-end dual-stream fusion framework with subsequent detail-aware diffusion-based refinement for joint low-light segmentation and enhancement
inferred← citeshttps://doi.org/10.12720/jait.15.10.1131-1137openalex-snapshot
Instance Segmentation of Road Marking Signs Using YOLO Models
inferred← citeshttps://doi.org/10.1364/oe.577247openalex-snapshot
Hardware-based LiDAR and imaging fusion sensing system
inferred← citeshttps://doi.org/10.3390/app14124962openalex-snapshot
Boosting the Performance of LLIE Methods via Unsupervised Weight Map Generation Network
inferred← citeshttps://doi.org/10.70003/160792642024072504003openalex-snapshot
A Lightweight Bilateral Left Ventricle Segmentation Method for Echocardiography
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