I have used the code in this repository linked below and implemented a lane segmentation system:
https://github.com/MaybeShewill-CV/lanenet-lane-detection
Then I found this demo which is Tesla Vision Path Prediction To See Around Blind Corners.
https://www.youtube.com/watch?v=rSAIWdcLPpo
i was kind of thinking that if I could be able to estimate slopes of the detected lanes and draw their tails in the image till they meet each other on intersection.
anyway, I wonder if anyone can help me to find any algorithm, paper or code that can use the detected lanes and output the predictions?
Thanks.
Masoud Masoumi Moghadam ,
If I understood your problem correctly, once you have the lines through edge detection algorithm what you can do is use the Hough transform that joins the most lines together in a single line(from this you can calculate the conditional probability).
To be able to transform those into real coordinates, the best thing to do is to have something in the scenery from which you can have the exact dimensions to calibrate the camera to get a sense of distance in the scenery (I would also assume that lane lines are of an exact measure but they are at angles and are subject to wear, you would need the distance from the camera to the floor and other camera properties).
The intersection problem can also be solved using the Hough transform. Though, do not assume that the intersection is at the horizon. ( i.e. are perpendicular) since the lane lines are not at a right angle in the image.
Let me know if you need further assistance or your problem was not what I described
Regards
Hello Masoud Masoumi Moghadam
Hope these articles will help you:
Article Vision Based Road Lane Detection System for Vehicles Guidance
Article A Study on Real-Time Detection Method of Lane and Vehicle fo...
And have a look at these:
https://medium.com/sanchit-gupta/lane-detection-with-turn-prediction-1773c4819541
https://towardsdatascience.com/tutorial-build-a-lane-detector-679fd8953132
Regards
Hope this will help:
A Study on Real-Time Detection Method of Lane and Vehicle for Lane Change Assistant System Using Vision System on Highway
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