文章在Apollo Synthetic的3D车道线检测数据集上进行实验,取得了比前作3D-LaneNet更好的效果。已经开源,大家可以尝试下。 论文地址:https://arxiv.org/pdf/2003.10656.pdf 代码地址:https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection 本文提出了一种通用且可扩展的3D车道线检测方法,称为Gen-LaneNe...
This is a pytorch implementation of Gen-LaneNet, which predicts 3D lanes from a single image. Specifically, Gen-LaneNet is a unified network solution that solves image encoding, spatial transform of features and 3D lane prediction simultaneously. The method refers to the ECCV 2020 paper: ...
3D-LaneNet +是用于anchor free 3D车道线检测的基于摄像机的DNN方法,用于检测任意拓扑的3D车道,例如拆分,合并以及短车道和垂直车道。本文遵循先前提出的3D-LaneNet,并将其扩展成为可以检测原来不受支持的车道拓扑。我们的输出表示形式是anchor-free的半局部 tile表示形式,可将车道分解为可学习参数的简单车道段。此外,我...
https://github.com/TuSimple/tusimple-benchmark (2017). Pan, X., Shi, J., Luo, P., Wang, X. & Tang, X. Spatial as deep: spatial cnn for traffic scene understanding. In Thirty-Second AAAI Conference on Artificial Intelligence (2017). Fu, J. et al. Dual attention network for scene...
代码地址:https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection 本文提出了一种通用且可扩展的3D车道线检测方法,称为Gen-LaneNet。该方法的灵感来自《3d-lanenet: end-to-end 3d multiple lane detection.》中的3D LaneNet技术,同时,该方法是一个统一的框架,可在单个网络中解决图像...