no code implementations • 1 Nov 2020 • Netalee Efrat, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, Bat El Shlomo
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.
no code implementations • 8 Jul 2020 • Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi
In addition, our autoencoder approach outperforms all other methods in the semi-supervised domain adaptation scenario.
no code implementations • 11 Mar 2020 • Netalee Efrat, Max Bluvstein, Noa Garnett, Dan Levi, Shaul Oron, Bat El Shlomo
We propose a novel camera-based DNN method for 3D lane detection with uncertainty estimation.
no code implementations • ICCV 2017 • Yuval Bahat, Netalee Efrat, Michal Irani
It attempts to recover a sharp image which, on one hand - results in the blurry image under our estimated blur-field, and on the other hand - maximizes the internal recurrence of patches within and across scales of the recovered sharp image.