Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022) deep-learningpytorchlane-detection UpdatedApr 15, 2024 Python Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021) ...
<a name="Lane-Detection"></a> # 车道线检测(Lane Detection) **Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection** - Paper: https://arxiv.org/abs/2301.02371 - Code: https://github.com/tusen-ai/Anchor3DLane **BEV-LaneDet: An Efficient 3D Lane Detection B...
【代码】:github.com/cfzd/Ultra-F 1、论文主要工作 2、创新点 3、代码解析 3.1 数据 Ultra-Fast-Lane-Detection/data/constant.py: 存放的数据的row_anchor, 将数据重采样成height=288时的对应的row anchors ,所需要的row_anchor 数量和位置依据数据给出 Ultra-Fast-Lane-Detection/data/dataloader.py:...
题目:BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline 名称:BEV-LaneDet:一种简单有效的 3D 车道检测基线 论文:arxiv.org/abs/2210.0600 代码:github.com/gigo-team/be 0.摘要 3D 车道检测在车辆路由中起着至关重要的作用,最近已成为自动驾驶中快速发展的主题。由于复杂的空间转换和 3D 车道...
Simulation results show that the proposed shortened spatial attention module and the simplified poolformer can achieve effective and accurate lane detection. (The code is available at https://github.com/jong12/CSA-Lanet .)Yang, Wei-JongDepartment of Artificial Intelligence and Computer Engineering, ...
代码链接:https://github.com/voldemortX/pytorch-auto-drive 简介 Lane detection strategies 如上图所示,基于深度学习的车道线检测方法可分为三大类:基于分割的方案(图中绿色示例)、基于点检测的方案(图中蓝色示例)和基于多项式曲线的方案(图中黄色示例)。
代码链接:https://github.com/voldemortX/pytorch-auto-drive 简介 Lane detection strategies 如上图所示,基于深度学习的车道线检测方法可分为三大类:基于分割的方案(图中绿色示例)、基于点检测的方案(图中蓝色示例)和基于多项式曲线的方案(图中黄色示例)。
Lane line detectionRIME optimization algorithmImage segmentationIn order to address the challenges of low lane line detection rates caused by complex road conditions,we propose a novel algorithm that integrates frost and ice optimisation with optimal thresholding. A pre-processing model based on Retinex ...
车道线检测之lanelines-detection,本篇博客整个项目源码:githubNOTE:本文只介绍了基本的车道线检测方法,预测曲率及车辆位置的车道线检测请戳:无人驾驶之高级车道线检测-AdvanceLane_finding_release前言本次博客主要分享Udacity自动驾驶纳米学位的第一个项目,车道线检
Code Edit dongkwonjin/rvld official 81 Tasks Edit Lane Detection Datasets Edit OpenLane VIL-100 Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. ...