Apr 2, 2020 · Different from others, this paper exploits prior knowledge contained in digital maps, which has a strong capability to enhance the performance ...

Jun 19, 2020 · However, ego-lane detection in the missing feature scenarios is still an unsolved problem. To address this problem, previous methods have been.

Apr 2, 2020 · Different from others, this paper exploits prior knowledge contained in digital maps, which has a strong capability to enhance the performance ...

Different from others, this paper exploits prior knowledge contained in digital maps, which has a strong capability to enhance the performance of detection ...

The road shape extracted from OpenStreetMap is used as lane model, which is highly consistent with the real lane shape and irrelevant to lane features, ...

Different from others, this paper exploits prior knowledge contained in digital maps, which has a strong capability to enhance the performance of detection ...

Jun 19, 2020 · Pull requests. Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios. openstreetmap self-driving kitti ego-lane missing-feature.

Lane Detection** is a computer vision task that involves identifying the boundaries of driving lanes in a video or image of a road scene.

Aug 14, 2023 · Employing the perspective transformation as a data augmentation method to mimic realistic images taken at different camera angles for the road ...