1 | initial version |
Hi,
I agree with the comment from StevenPuttemans. You should not use different models and try to combine them. To detected the lane markers use a model which approximates the lane markers good enough and which can be easily calculated (e.g. BSplines). Then after detecting the lane markers you can use this information to get the drive lane.
At DARPA Urban Challenge the Team Caltech developed an approach which works very good and runs in real-time.
See website from Mohamed Aly here.
He also published a paper
Mohamed Aly, Real time Detection of Lane Markers in Urban Streets, IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands, June 2008.
2 | No.2 Revision |
Hi,
I agree with the comment from StevenPuttemans. You should not use different models and try to combine them. To detected the lane markers use a model which approximates the lane markers good enough and which can be easily calculated (e.g. BSplines). Then after detecting the lane markers you can use this information to get the drive lane.
At DARPA Urban Challenge the Team Caltech developed an approach which works very good and runs in real-time.
See website from Mohamed Aly here..There he also presents pictures and videos of the results.
He also published a paper
Mohamed Aly, Real time Detection of Lane Markers in Urban Streets, IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands, June 2008.