deep-learningpytorchlane-detection UpdatedMay 31, 2021 Python Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" lane-detectionscnn-pytorch UpdatedApr 28, 2023 Python Built a real-time lane departure warning system with a monocular camera, using OpenCV. ...
deep-learninglane-detectiontusimpleculanelane-line-detectionscnnlaneattresaufldlane-detection-toolboxconditional-lane-detection UpdatedMar 31, 2022 Python Advanced lane detection using computer vision computer-visioncamera-calibrationlane-linesself-driving-carlane-findinglane-detectionudacity-carndlane-boundariesla...
《EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection》 《Real-time Lane Marker Detection Using Template Matching with RGB-D Camera》 《Towards End-to-End Lane Detection: an Instance Segmentation Approach》论文解读github 《Lane Detection and Classification for Forward Collisi...
This section provides details on setting up the platform for performing lane detection distributed training at scale using the Run:ai orchestrator. We discuss installation of all the solution elements and running the distributed training job on the said platform. ML ver...
Considering the image captured from the front car camera, in this paper, we use deep learning segmentation technologies to precisely extract the lane lines by using contiguous spatial attentions. We first propose the shortened spatial attention module into the lane detection network through the ...
Ultra Fast Structure-aware Deep Lane Detection github源码网址: github.com/cfzd/Ultra-F 2. 摘要 目前的车道线的检测方法主要将车道检测描述为像素的分割问题,因此在复杂场景和速度方面往往差强人意。收到人类感知的启发,在严重的遮挡以及极端的光照条件下的车道线检测主要是基于场景的上下文和全局信息。根据这...
Robust 3D lane detection is the key to advanced autonomous driving technologies. However, complex traffic scenes such as bad weather and variable terrain are the main factors affecting the robustness of lane detection algorithms. In this paper, a generalized two-stage network called Att-Gen-LaneNet...
In this repo I uploaded a model trained on tusimple lane datasetTusimple_Lane_Detection. The deep neural network inference part can achieve around a 50fps which is similar to the description in the paper. But the input pipeline I implemented now need to be improved to achieve a real time la...
https://github.com/MaybeShewill-CV/lanenet-lane-detection 以前的CNN网络将所有的车道线检测出来,没做区分,需要后续处理区分出不同的车道线。本文的CNN网络模型可以直接区分不同的车道线,不需要后续处理。 这里设计了一个 multi-task network:lane segmentation branch 和 lane embedding branch。lane segmentation bra...
This project is designed for lane detection in Euro Truck Simulator 2 (ETS2) using deep learning models implemented with PyTorch. It combines two distinct approaches for robust real-time scene understanding: Lane Detection using LaneNet (with an ENet backbone) and Object Detection with YOLO11n Obje...