Aerial LaneNet: Lane-marking semantic segmentation in aerial imagery using wavelet-enhanced cost-sensitive symmetric fully convolutional neural networks

SM Azimi, P Fischer, M Körner… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …
被引用次数：115 相关文章

Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks

SM Azimi, P Fischer, M Körner… - IEEE Transactions on …, 2018 - mediatum.ub.tum.de
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …
[PDF] researchgate.net

[PDF][PDF] Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural …

SM Azimi, P Fischer, M Körner, P Reinartz - researchgate.net
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …

Aerial LaneNet: Lane-Marking Semantic Segmentation in Aerial Imagery Using Wavelet-Enhanced Cost-Sensitive Symmetric Fully Convolutional Neural Networks

SM Azimi, P Fischer, M Korner… - IEEE Transactions on …, 2019 - ui.adsabs.harvard.edu
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …

Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks

S Azimi, P Fischer, M Körner, P Reinartz - IEEE Transactions on …, 2019 - elib.dlr.de
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …

Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks

SM Azimi, P Fischer, M Körner, P Reinartz - arXiv preprint arXiv …, 2018 - arxiv.org
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …