ONE PROBLEM in the evaluation method for CULane

[yoga-0125]

Hi, I have one question regarding to the lane evaluation method. My thought may be not correct, but please read it and give me some suggestions if possible, thank you.

• In CULane, different images may have different lane end point labelling (eg. 280, 410 ...)
• When extracting lane points from prob maps, the number of points determine the end point of lanes (eg. m=15 points result in the end points of lanes are 310)
• Predicted lane (310) can be shorter than ground truth (280) ["estimation is not enough"] or longer than ground truth (410) ["over estimation"]
• As the attached figure shown, I thought lane fitting is evaluated with almost same length, but here, different length of prediction and ground truth also affects on false positive and false negative

[XingangPan]

@yoga-0125 Your understanding is correct. We believe that predicting the length accurately is also important for lane detection, thus length is considered in the evaluation metric.