A real‐time lane detection network using two‐directional separation attention
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A real‐time lane detection network using two‐directional separation attention
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-05-27
DOI
10.1111/mice.13051
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Simultaneous vehicle and lane detection via MobileNetV3 in car following scene
- (2022) Tianmin Deng et al. PLoS One
- LSD-based adaptive lane detection and tracking for ADAS in structured road environment
- (2021) Jun Tian et al. Soft Computing
- Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
- (2021) Sikai Chen et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Spatiotemporal gated graph attention network for urban traffic flow prediction based on license plate recognition data
- (2021) Jinjun Tang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks
- (2021) Yu Xue et al. International Journal of Neural Systems
- Detection of Trees on Street-View Images Using a Convolutional Neural Network
- (2021) Danilo Samuel Jodas et al. International Journal of Neural Systems
- Graph Model-Based Lane-Marking Feature Extraction for Lane Detection
- (2021) Ju-Han Yoo et al. SENSORS
- Deep reinforcement learning for automated design of reinforced concrete structures
- (2021) Jong‐Hyun Jeong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Human gaze-aware attentive object detection for ambient intelligence
- (2021) Dae-Yong Cho et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units
- (2021) Jiyong Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Deep Learning in Lane Marking Detection: A Survey
- (2021) Youcheng Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A convolution-based distance measure for fuzzy singletons and its application in a pattern recognition problem
- (2020) Rodrigo Naranjo et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- A review of lane detection methods based on deep learning
- (2020) Jigang Tang et al. PATTERN RECOGNITION
- Attention Transfer Network for Nature Image Matting
- (2020) Fenfen Zhou et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks
- (2019) Qin Zou et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Squeeze-and-Excitation Networks
- (2019) Jie Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Lane Detection and Classification for Forward Collision Warning System Based on Stereo Vision
- (2018) Wenjie Song et al. IEEE SENSORS JOURNAL
- ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation
- (2018) Eduardo Romera et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Lane detection method based on lane structural analysis and CNNs
- (2018) Yang Yang Ye et al. IET Intelligent Transport Systems
- A review of recent advances in lane detection and departure warning system
- (2018) Sandipann P. Narote et al. PATTERN RECOGNITION
- Deep Learning Applied to Scenario Classification for Lane-Keep-Assist Systems
- (2018) Halil Beglerovic et al. Applied Sciences-Basel
- Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
- (2017) Jihun Kim et al. NEURAL NETWORKS
- Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene
- (2017) Jun Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Semantic object classes in video: A high-definition ground truth database
- (2008) Gabriel J. Brostow et al. PATTERN RECOGNITION LETTERS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started