6 datasets found

The dataset is used for lane detection in highway and city scenes.

The comma2k19 dataset is used to evaluate the robustness of lane detection models under physical-world adversarial attacks in autonomous driving.

The TuSimple Lane Detection Challenge dataset is used to evaluate the robustness of lane detection models under physical-world adversarial attacks in autonomous driving.

A hybrid spatial-temporal deep learning architecture for lane detection

A dataset of 2000 RGB images for lane detection using SegNet architecture.

The CULane dataset contains clips from a video of more than 55 hours in length, which was collected by drivers in Beijing city streets.