no code implementations • CVPR 2015 • Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman
We propose a novel method for template matching in unconstrained environments.
no code implementations • 6 Sep 2016 • Shaul Oron, Tali Dekel, Tianfan Xue, William T. Freeman, Shai Avidan
We propose a novel method for template matching in unconstrained environments.
no code implementations • 1 Nov 2016 • Shaul Oron, Denis Suhanov, Shai Avidan
BBS was introduced as a similarity measure between two point sets and was shown to be very effective for template matching.
1 code implementation • 31 Mar 2019 • Liat Sless, Gilad Cohen, Bat El Shlomo, Shaul Oron
Occupancy grid mapping is an important component in road scene understanding for autonomous driving.
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 • 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.