VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

ICCV 2017 Seokju LeeJunsik KimJae Shin YoonSeunghak ShinOleksandr BailoNamil KimTae-Hee LeeHyun Seok HongSeung-Hoon HanIn So Kweon

In this paper, we propose a unified end-to-end trainable multi-task network that jointly handles lane and road marking detection and recognition that is guided by a vanishing point under adverse weather conditions. We tackle rainy and low illumination conditions, which have not been extensively studied until now due to clear challenges... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Lane Detection Caltech Lanes Cordova VPGNet F1 0.884 # 1
Lane Detection Caltech Lanes Washington VPGNet F1 0.869 # 1