laneBoundaryDetector
Description
The laneBoundaryDetector
object detects lane boundaries in images
by using a pretrained Cross Layer Refinement Network (CLRNet) lane detection model [1] or a pretrained recursive
video lane detector (RVLD) model [2].
Note
This object requires an internet connection to download the pretrained lane detection models for its first use.
Creation
Description
creates a
default detector
= laneBoundaryDetectorlaneBoundaryDetector
object detector
to
detect lane boundaries in images.
Note
This object requires the Scenario Builder for Automated Driving Toolbox™ support package, Deep Learning Toolbox™, and the Deep Learning Toolbox Converter for ONNX™ Model Format support package. You can install the Scenario Builder for Automated Driving Toolbox and Deep Learning Toolbox Converter for ONNX Model Format support packages from the Add-On Explorer. For more information about installing add-ons, see Get and Manage Add-Ons.
Input Arguments
Output Arguments
Properties
Object Functions
detect | Detect lane boundaries in images |
Examples
More About
References
[1] Zheng, Tu, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, and Xiaofei He. “CLRNet: Cross Layer Refinement Network for Lane Detection.” In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 888–97. New Orleans, LA, USA: IEEE, 2022. https://doi.org/10.1109/CVPR52688.2022.00097.
[2] Jin, Dongkwon, Dahyun Kim, and Chang-Su Kim. “Recursive Video Lane Detection.” In 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 8439–48. Paris, France: IEEE, 2023. https://doi.org/10.1109/ICCV51070.2023.00778.