Search Results for author:
Found 5 papers, 1 papers with code
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
3D-LaneNet+ is a camera-based DNN method for anchor free 3D lane detection which is able to detect 3d lanes of any arbitrary topology such as splits, merges, as well as short and perpendicular lanes.
Synthetic-to-Real Domain Adaptation for Lane Detection
In addition, our autoencoder approach outperforms all other methods in the semi-supervised domain adaptation scenario.
Semi-Local 3D Lane Detection and Uncertainty Estimation
We propose a novel camera-based DNN method for 3D lane detection with uncertainty estimation.
Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation
The problem of estimating the number of sources and their angles of arrival from a single antenna array observation has been an active area of research in the signal processing community for the last few decades.
3D-LaneNet: End-to-End 3D Multiple Lane Detection
We introduce a network that directly predicts the 3D layout of lanes in a road scene from a single image.
Ranked #9 on
3D Lane Detection
on Apollo Synthetic 3D Lane
