Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Efrat, Netalee"'
Publikováno v:
Machine Learning for Autonomous Driving Workshop at the 34th Conference on Neural Information ProcessingSystems (NeurIPS 2020), Vancouver, Canada
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. We follow recently proposed 3D-LaneNet, and extend
Externí odkaz:
http://arxiv.org/abs/2011.01535
Accurate lane detection, a crucial enabler for autonomous driving, currently relies on obtaining a large and diverse labeled training dataset. In this work, we explore learning from abundant, randomly generated synthetic data, together with unlabeled
Externí odkaz:
http://arxiv.org/abs/2007.04023
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 into simple lane segments. It combines learning a parametric model for
Externí odkaz:
http://arxiv.org/abs/2003.05257
Publikováno v:
ACM Transactions on Graphics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::644b3636d12b95341f3bb43e6417f2bc
