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Lane Departure Warning System Based on New Feature Fusion Algorithm and Departure Judgment Rule

https://doi.org/10.2139/ssrn.4145253
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inferredcites →https://doi.org/10.1007/978-3-030-58523-5_42openalex-extracted
Polynomial Regression Network for Variable-Number Lane Detection
inferredcites →https://doi.org/10.1007/978-3-031-19839-7_32openalex-extracted
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
inferredcites →https://doi.org/10.1007/s11042-018-6762-2openalex-extracted
An improved lane departure warning algorithm based on fusion of F-Kalman filter and F-TLC
inferredcites →https://doi.org/10.1007/s42835-021-00902-6openalex-extracted
Real-Time Lane Detection Based on Deep Learning
inferredcites →https://doi.org/10.1016/j.cag.2017.08.004openalex-extracted
Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach
inferredcites →https://doi.org/10.1016/j.chaos.2021.111722openalex-extracted
A deep learning based fast lane detection approach
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106653openalex-extracted
Lane detection technique based on perspective transformation and histogram analysis for self-driving cars
inferredcites →https://doi.org/10.1016/j.heliyon.2019.e02169openalex-extracted
Vision-based lane departure warning framework
inferredcites →https://doi.org/10.1016/j.image.2021.116413openalex-extracted
Multi-scale spatial convolution algorithm for lane line detection and lane offset estimation in complex road conditions
inferredcites →https://doi.org/10.1016/j.jvcir.2021.103373openalex-extracted
Structure-prior deep neural network for lane detection
inferredcites →https://doi.org/10.1016/j.micpro.2019.102874openalex-extracted
A robust, real-time and calibration-free lane departure warning system
inferredcites →https://doi.org/10.1016/j.patcog.2017.08.014openalex-extracted
A review of recent advances in lane detection and departure warning system
inferredcites →https://doi.org/10.1088/1742-6596/1549/2/022131openalex-extracted
Lane Line Edge Detection Based on Improved Adaptive Canny Algorithm
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00036openalex-extracted
Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01655openalex-extracted
Rethinking Efficient Lane Detection via Curve Modeling
inferredcites →https://doi.org/10.1109/icassp.2011.5946584openalex-extracted
Polar randomized hough transform for lane detection using loose constraints of parallel lines
inferredcites →https://doi.org/10.1109/iccsp.2018.8524382openalex-extracted
Computer Vision Based Real Time Lane Departure Warning System
inferredcites →https://doi.org/10.1109/iccv.2019.00110openalex-extracted
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
inferredcites →https://doi.org/10.1109/icma.2018.8484630openalex-extracted
Detection of Lane Lines on Both Sides of Road Based on Monocular Camera
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412265openalex-extracted
PolyLaneNet: Lane Estimation via Deep Polynomial Regression
inferredcites →https://doi.org/10.1109/iscas.2019.8702360openalex-extracted
A Robust, Real-Time and Calibration-Free Lane Departure Warning System
inferredcites →https://doi.org/10.1109/iscit.2018.8587850openalex-extracted
Lane Boundaries Detection Algorithm based on Retinex with Line Segments Angles Computation
inferredcites →https://doi.org/10.1109/ivs.2010.5548087openalex-extracted
A novel lane detection based on geometrical model and Gabor filter
inferredcites →https://doi.org/10.1109/tits.2019.2890870openalex-extracted
Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit
inferredcites →https://doi.org/10.1109/wacv48630.2021.00374openalex-extracted
End-to-end Lane Shape Prediction with Transformers
inferredcites →https://doi.org/10.1609/aaai.v32i1.12301openalex-extracted
Spatial as Deep: Spatial CNN for Traffic Scene Understanding
inferredcites →https://doi.org/10.1609/aaai.v36i1.19961openalex-extracted
Laneformer: Object-Aware Row-Column Transformers for Lane Detection
inferredcites →https://doi.org/10.4271/07-11-01-0006openalex-extracted
Efficient Lane Detection Using Deep Lane Feature Extraction Method
inferredcites →https://doi.org/10.4271/2017-01-1970openalex-extracted
Efficient Lane Detection Using Deep Lane Feature Extraction Method
inferredcites →https://doi.org/10.48550/arxiv.1908.00821openalex-extracted
inferredcites →https://doi.org/10.1016/j.eswa.2020.113816openalex-snapshot
Self-driving cars: A survey
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