30 citations · 37 across the 5 of their papers we have counts for
5 papers
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
Netalee Efrat, Max Bluvstein, Shaul Oron +3
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 p…
Semi-Local 3D Lane Detection and Uncertainty Estimation
Netalee Efrat, Max Bluvstein, Noa Garnett +3
We propose a novel camera-based DNN method for 3D lane detection with uncertainty estimation. Our method is based on a semi-local, BEV, tile representation that breaks down lanes i…
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation
Liat Sless, Gilad Cohen, Bat El Shlomo +1
Occupancy grid mapping is an important component in road scene understanding for autonomous driving. It encapsulates information of the drivable area, road obstacles and enables sa…
Best-Buddies Tracking
Shaul Oron, Denis Suhanov, Shai Avidan
Best-Buddies Tracking (BBT) applies the Best-Buddies Similarity measure (BBS) to the problem of model-free online tracking. BBS was introduced as a similarity measure between two p…
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors
Shaul Oron, Tali Dekel, Tianfan Xue +2
We propose a novel method for template matching in unconstrained environments. Its essence is the Best-Buddies Similarity (BBS), a useful, robust, and parameter-free similarity mea…