对近两年来车道线检测算法进行汇总,后期将会保持不断更新~
1、Efficient Road Lane Marking Detection with Deep Learning
2、VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
3、Semi-Local 3D Lane Detection and Uncertainty Estimation
4、Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT
5、3D-LaneNet: End-to-End 3D Multiple Lane Detection
6、Agnostic Lane Detection
7、Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks
8、End to End Video Segmentation for Driving : Lane Detection For Autonomous Car
9、Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation
10、Real-time stereo vision-based lane detection system
11、LaneNet: Real-Time Lane Detection Networks for Autonomous Driving
12、Towards End-to-End Lane Detection: an Instance Segmentation Approach
13、A Robust Lane Detection and Departure Warning System
14、Real time Detection of Lane Markers in Urban Streets
15、LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
16、Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection
17、Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
18、Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer
19、End-to-end Lane Detection through Differentiable Least-Squares Fitting
20、Real-time Lane Marker Detection Using Template Matching with RGB-D Camera
21、LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks
往期干货资源:
汇总 | 国内最全的3D视觉学习资源,涉及计算机视觉、SLAM、三维重建、点云处理、姿态估计、深度估计、3D检测、自动驾驶、深度学习(3D+2D)、图像处理、立体视觉、结构光等方向!
汇总 | 3D目标检测(基于点云、双目、单目)
汇总 | 6D姿态估计算法(基于点云、单目、投票方式)
汇总 | 三维重建算法实战(单目重建、立体视觉、多视图几何)
汇总 | 3D点云后处理算法(匹配、检索、滤波、识别)
汇总 | SLAM算法(视觉里程计、后端优化、回环检测)
汇总 | 深度学习&自动驾驶前沿算法研究(检测、分割、多传感器融合)
汇总 | 相机标定算法
汇总 | 事件相机原理
汇总 | 结构光经典算法
汇总 | 缺陷检测常用算法与实战技巧