Advanced lane detection using computer vision
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
Lane detection and classification in an end-to-end Deep Learning fashion
TuSimple lane detection dataset addon with class information.
In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
A Python program for lane line detection and tracking using a traditional computer vision approach
Practical application of image processing and recognition techniques with matlab.
Image processing pipeline to detect road lane lines using Python and OpenCV
Udacity CarND - Project 04 - Advanced Lane Lines
Project to Detect and Track Lane Lines From Camera Images
Project 2 to find lane lines for self driving car
Self-driving Car Project: Advanced Lane Lines Detection and Tracking
Finding lane lines on the road
Neural network to predict and draw traffic lanes.
라즈베리파이를 이용해서 lane detection
Lane detection using hough transform
Computer Vision. Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
Computer vision techniques to detect lane lines
Turn-in assignment for Udacity project detecting and tracking vehicles
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