车道检测
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主要从事图像分析算法设计、深度学习
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车道线检测--Towards End-to-End Lane Detection: an Instance Segmentation Approach
Towards End-to-End Lane Detection: an Instance Segmentation ApproachIn IEEE Intelligent Vehicles Symposium (IV’18)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...原创 2019-04-26 11:32:49 · 2643 阅读 · 0 评论 -
车道检测--VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and RecognitionICCV2017https://github.com/SeokjuLee/VPGNet Caffe code本文针对车道线和 道路指示线检测和识别做了两个事 lane and road marking det...原创 2019-04-27 15:14:14 · 5737 阅读 · 0 评论 -
CNN交通场景解析--Spatial as Deep: Spatial CNN for Traffic Scene Understanding
Spatial as Deep: Spatial CNN for Traffic Scene UnderstandingAAAI 2018https://github.com/cardwing/Codes-for-Lane-Detectionhttps://github.com/harryhan618/SCNN_Pytorchhttps://github.com/XingangPan/SC...原创 2019-04-25 13:19:41 · 1128 阅读 · 0 评论 -
实时车道检测--A Novel Vision-Based Framework for Real-Time Lane Detection and Tracking
A Novel Vision-Based Framework for Real-Time Lane Detection and TrackingSAE Technical Paper 2019-01-0690, 2019本文提出将传统方法和 CNN结合起来实现实时车道检测基于传统算法的车道检测方法依赖于strict assumptions ，只能在有限的场景中可以正常工作，速度快基于CNN...原创 2019-05-05 10:41:24 · 1164 阅读 · 2 评论 -
车道线检测--End-to-end Lane Detection through Differentiable Least-Squares Fitting
End-to-end Lane Detection through Differentiable Least-Squares Fittinghttps://github.com/wvangansbeke/LaneDetection_End2End本文使用 CNN网络来检测车道线，end-to-end 就是输入图像，输出拟合出的车道线参数，一步到位，不用后续处理什么的。传统的车道线检测是分步骤...原创 2019-04-30 15:51:15 · 1763 阅读 · 0 评论