@Madhur Bhel Does this whole idea of lane detection without Deep Learning will work for road where we have one line visible and other is not at all present for 10 meters due to any reason like construction etc?
When not using Deep Learning, in the situation where a lane marker may disappear (for an amount of time), you can automatically revert to justifying towards the known marked with the intent of looking for a marker when it comes back.
![Lecture 26 - Transfer Learning and Course Wrap Up [PoM-CPS]](http://i.ytimg.com/vi/7qcfpPVGNx0/mqdefault.jpg)
![Lecture 26 - Transfer Learning and Course Wrap Up [PoM-CPS]](/img/tr.png)
Does the modified Lanenet use LSTM's ?!
@Madhur Bhel Does this whole idea of lane detection without Deep Learning will work for road where we have one line visible and other is not at all present for 10 meters due to any reason like construction etc?
When not using Deep Learning, in the situation where a lane marker may disappear (for an amount of time), you can automatically revert to justifying towards the known marked with the intent of looking for a marker when it comes back.
Is 48:32 a typo. Downsampling maybe?
DL/ML is not a universal solution to every problem
Can u share the code link
what is your project?
@@ansjaved3484 railway detection
@@willywandji2921 😂 railway station detection?