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Lane Detection Algorithm for Intelligent Vehicles in Complex Road Conditions and Dynamic Environments
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Lane marking detection via deep convolutional neural network
inferredcites →https://doi.org/10.1016/j.neunet.2016.12.002openalex-snapshot
Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
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A Point Cloud-Based Robust Road Curb Detection and Tracking Method
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A novel PCA perspective mapping for robust lane detection in urban streets
inferredcites →https://doi.org/10.1109/cac.2018.8623762openalex-snapshot
Multi-Lane Detection via Multi-Task Network in Various Road Scenes
inferredcites →https://doi.org/10.1109/ccdc.2018.8407720openalex-snapshot
Unstructured road detection based on region growing
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A Comparative Study of Various Edge Detection Methods
inferredcites →https://doi.org/10.1109/cvpr.2019.01185openalex-snapshot
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network
inferredcites →https://doi.org/10.1109/hsi.2017.8005036openalex-snapshot
Lane marking detection using image features and line fitting model
inferredcites →https://doi.org/10.1109/ical.2008.4636367openalex-snapshot
Automatic detection technique of preceding lane and vehicle
inferredcites →https://doi.org/10.1109/iccvw.2019.00119openalex-snapshot
End-to-end Lane Detection through Differentiable Least-Squares Fitting
inferredcites →https://doi.org/10.1109/icma.2018.8484630openalex-snapshot
Detection of Lane Lines on Both Sides of Road Based on Monocular Camera
inferredcites →https://doi.org/10.1109/icoacs.2016.7563100openalex-snapshot
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3D shape visualization of curved needles in tissue from 2D ultrasound images using RANSAC
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inferredcites →https://doi.org/10.1109/iros.2011.6095123openalex-snapshot
Exploiting motion priors in visual odometry for vehicle-mounted cameras with non-holonomic constraints
inferredcites →https://doi.org/10.1109/iscid.2018.00078openalex-snapshot
Lane Detection Base on Deep Learning
inferredcites →https://doi.org/10.1109/iscit.2007.4392216openalex-snapshot
Lane detection for driver assistance and intelligent vehicle applications
inferredcites →https://doi.org/10.1109/isocc.2013.6864011openalex-snapshot
Lane detection system with around view monitoring for intelligent vehicle
inferredcites →https://doi.org/10.1109/itsc.2012.6338740openalex-snapshot
Spatial ray features for real-time ego-lane extraction
inferredcites →https://doi.org/10.1109/itsc.2014.6957993openalex-snapshot
Road curb and lanes detection for autonomous driving on urban scenarios
inferredcites →https://doi.org/10.1109/ivs.2013.6629637openalex-snapshot
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inferredcites →https://doi.org/10.1109/ivs.2014.6856405openalex-snapshot
Robust curb detection and vehicle localization in urban environments
inferredcites →https://doi.org/10.1109/ivs.2016.7535488openalex-snapshot
Vehicle localization with tightly coupled GNSS and visual odometry
inferredcites →https://doi.org/10.1109/ivs.2016.7535517openalex-snapshot
Accurate and robust lane detection based on Dual-View Convolutional Neutral Network
inferredcites →https://doi.org/10.1109/ivs.2018.8500547openalex-snapshot
Towards End-to-End Lane Detection: an Instance Segmentation Approach
inferredcites →https://doi.org/10.1109/mcom.2019.1800226openalex-snapshot
Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities
inferredcites →https://doi.org/10.1109/nds.2009.5196176openalex-snapshot
2D line filters for vision-based lane detection and tracking
inferredcites →https://doi.org/10.1109/radar.2018.8378640openalex-snapshot
Geolocation with FDOA measurements via polynomial systems and RANSAC
inferredcites →https://doi.org/10.1109/rios.2016.7529511openalex-snapshot
New approach to road detection in challenging outdoor environment for autonomous vehicle
inferredcites →https://doi.org/10.1109/robio.2014.7090740openalex-snapshot
Safety driving assistance system design in intelligent vehicles
inferredcites →https://doi.org/10.1109/robio.2018.8665053openalex-snapshot
Perception of Vehicle and Traffic Dynamics Using Visual-Inertial Sensors for Assistive Driving
inferredcites →https://doi.org/10.1109/tits.2012.2216878openalex-snapshot
Generalizing Laplacian of Gaussian Filters for Vanishing-Point Detection
inferredcites →https://doi.org/10.1109/tits.2017.2658662openalex-snapshot
Overview of Environment Perception for Intelligent Vehicles
inferredcites →https://doi.org/10.1109/tpami.2013.185openalex-snapshot
3D Traffic Scene Understanding From Movable Platforms
inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-snapshot
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
inferredcites →https://doi.org/10.1109/tvt.2019.2949603openalex-snapshot
Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks
inferredcites →https://doi.org/10.1134/s1054661818020049openalex-snapshot
Improved Lane Line Detection Algorithm Based on Hough Transform
inferredcites →https://doi.org/10.1179/1743131x14y.0000000098openalex-snapshot
Edge-detection method using binary morphology on hexagonal images
inferredcites →https://doi.org/10.1609/aaai.v32i1.12301openalex-snapshot
Spatial as Deep: Spatial CNN for Traffic Scene Understanding
inferredcites →https://doi.org/10.3390/s18051635openalex-snapshot
Lane Marking Detection and Reconstruction with Line-Scan Imaging Data
inferredcites →https://doi.org/10.3390/s18124308openalex-snapshot
A Fast Learning Method for Accurate and Robust Lane Detection Using Two-Stage Feature Extraction with YOLO v3
inferredcites →https://doi.org/10.3390/s19071584openalex-snapshot
Research on Lane a Compensation Method Based on Multi-Sensor Fusion
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.274.634openalex-snapshot
Research on Lane Marking Lines Detection
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.1014.259openalex-snapshot
Applied Technology in Unstructured Road Detection with Road Environment Based on SIFT-HARRIS
inferredcites →https://doi.org/10.5220/0005540501910198openalex-snapshot
Autonomous Cars: Past, Present and Future - A Review of the Developments in the Last Century, the Present Scenario and the Expected Future of Autonomous Vehicle Technology
inferredcites →https://doi.org/10.6688/jise.2009.25.5.12openalex-snapshot
A Real-Time Driving Assistance and Surveillance System *
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.4524936openalex-extracted
Adaptive Multilane Detection for Autonomous Driving in Different Visibility Conditions Using Deep Learning
inferred← citeshttps://doi.org/10.2139/ssrn.5387394openalex-extracted
A Survey on Automated Vehicles in Low Visibility and Infrastructure-Limited Roadway Settings
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Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems
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Lane Departure Warning and Correction System with Control Logic on FPGA
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A Computer Vision-Based Lane Detection Approach for an Autonomous Vehicle Using the Image Hough Transformation and the Edge Features
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LOID: Lane Occlusion Inpainting and Detection for Enhanced Autonomous Driving Systems
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LaneCorrect: Self-Supervised Lane Detection
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A New Adaptive Region of Interest Extraction Method for Two-Lane Detection
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