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A random finite set approach to multiple lane detection

https://doi.org/10.1109/itsc.2012.6338772
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-16362-3_14openalex-snapshot
Stable Road Lane Model Based on Clothoids
inferredcites →https://doi.org/10.1007/978-3-662-06731-4openalex-snapshot
Digitale Bildverarbeitung
inferredcites →https://doi.org/10.1016/0734-189x(87)90043-0openalex-snapshot
Analyzing oriented patterns
inferredcites →https://doi.org/10.1109/cvprw.2003.10097openalex-snapshot
Tracking Random Sets of Vehicles in Terrain
inferredcites →https://doi.org/10.1109/iccv.2001.937519openalex-snapshot
Stochastic road shape estimation
inferredcites →https://doi.org/10.1109/icif.2002.1020938openalex-snapshot
Joint Integrated Probabilistic Data Association - JIPDA
inferredcites →https://doi.org/10.1109/itsc.2006.1707376openalex-snapshot
A multi-model lane detector that handles road singularities
inferredcites →https://doi.org/10.1109/ivs.2003.1212973openalex-snapshot
Robust vision based lane tracking using multiple cues and particle filtering
inferredcites →https://doi.org/10.1109/ivs.2006.1689661openalex-snapshot
Multiple Cue Data Fusion with Particle Filters for Road Course Detection in Vision Systems
inferredcites →https://doi.org/10.1109/mfi.2006.265649openalex-snapshot
Rule-based tracking of multiple lanes using particle filters
inferredcites →https://doi.org/10.1109/tits.2006.869595openalex-snapshot
Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation
inferredcites →https://doi.org/10.1109/tits.2007.908582openalex-snapshot
Robust Lane Detection and Tracking in Challenging Scenarios
inferredcites →https://doi.org/10.5281/zenodo.16444openalex-snapshot
A Tensor Approach For Local Structure Analysis In Multi-Dimensional Images

What points at this work

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

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Lane Line Detection at Nighttime on Fractional Differentialand Central Line Point Searching
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Vision‐Based Driver Assistance
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Autonomous Driving Landscape
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An Efficient Ego-Lane Detection Model to Avoid False-Positives Detection of Guardrails
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Vision-Based Driver-Assistance Systems
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Wrong Roadway Detection for Multi-lane Roads
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Visual lane analysis and higher-order tasks: a concise review
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LaneDraw: Cascaded lane and its bifurcation detection with nested fusion
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Lane line detection based on the codec structure of the attention mechanism
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LRNet: a lightweight and robust network for instance lane detection
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Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review
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ADPNet: Attention based dual path network for lane detection
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MT-Net: Fast video instance lane detection based on space time memory and template matching
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Lane line detection at nighttime on fractional differential and central line point searching with Fragi and Hessian
inferred← citeshttps://doi.org/10.1049/ipr2.70065openalex-snapshot
LC‐YOLO: An Improved YOLOv8‐Based Lane Detection Model for Enhanced Lane Intrusion Detection
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Object detection and collision time estimation - review
inferred← citeshttps://doi.org/10.1088/1742-6596/1651/1/012018openalex-snapshot
Geometry Embedded Multi-Task Network for Lane Detection and Classification
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Lane Detection Using Q-net Model
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Real- Time Lane Detection Based on a Light-Weight Model in the Wild
inferred← citeshttps://doi.org/10.1109/ctmcd53128.2021.00057openalex-snapshot
Flexible lane detection using CNNs
inferred← citeshttps://doi.org/10.1109/cvci54083.2021.9661155openalex-snapshot
An Effective Module CA-HDC for Lane Detection in Complicated Environment
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01458openalex-snapshot
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00210openalex-snapshot
DET: A High-Resolution DVS Dataset for Lane Extraction
inferred← citeshttps://doi.org/10.1109/icarm.2019.8834317openalex-snapshot
Real-time Robust Multi-lane Detection and Tracking in Challenging Urban Scenarios
inferred← citeshttps://doi.org/10.1109/iccais.2014.7020543openalex-snapshot
Multiple target tracking in video data using labeled random finite set
inferred← citeshttps://doi.org/10.1109/iccais.2014.7020566openalex-snapshot
Robust multi-Bernoulli filtering for visual tracking
inferred← citeshttps://doi.org/10.1109/iccais.2014.7020575openalex-snapshot
Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence
inferred← citeshttps://doi.org/10.1109/iccais.2015.7338667openalex-snapshot
A multi-sensor generalized labeled multi-Bernoulli filter via extended association map
inferred← citeshttps://doi.org/10.1109/iccv.2017.215openalex-snapshot
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
inferred← citeshttps://doi.org/10.1109/iccv.2019.00110openalex-snapshot
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506299openalex-snapshot
Semi-Supervised Lane Detection With Deep Hough Transform
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412400openalex-snapshot
Lane Detection based on Object Detection and Image-to-image Translation
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412572openalex-snapshot
RONELD: Robust Neural Network Output Enhancement for Active Lane Detection
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inferred← citeshttps://doi.org/10.1109/itsc.2019.8917285openalex-snapshot
DCLane for Real-time Understanding of Lane Markings
inferred← citeshttps://doi.org/10.1109/ivs.2013.6629620openalex-snapshot
A lane marking extraction approach based on Random Finite Set Statistics
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Multi-lane detection in urban driving environments using conditional random fields
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Computing Systems for Autonomous Driving: State of the Art and Challenges
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DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects
inferred← citeshttps://doi.org/10.1109/tits.2021.3088488openalex-snapshot
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
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