Advancements in Road Lane Mapping: Comparative Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery
XW Liu - 2024 - uwspace.uwaterloo.ca
… overcomes the limitations of LiDAR and satellite imagery, … This section explores the
progression of lane marking detection … (c) Figure 2.1: Examples of results using Aerial LaneNet …
progression of lane marking detection … (c) Figure 2.1: Examples of results using Aerial LaneNet …
Fusionlane: Multi-sensor fusion for lane marking semantic segmentation using deep neural networks
… [1] SM Azimi et al., “Aerial LaneNet: lane marking semantic segmentation in aerial imagery
using wavelet-enhanced cost-sensitive symmetric fully convolutional neural networks,” 2018, …
using wavelet-enhanced cost-sensitive symmetric fully convolutional neural networks,” 2018, …
Lane-level street map extraction from aerial imagery
S He, H Balakrishnan - … of the IEEE/CVF Winter Conference …, 2022 - openaccess.thecvf.com
… To extract the lane graph from aerial imagery, we first use a semantic segmentation … Aerial
lanenet: Lane-marking semantic segmentation in aerial imagery using wavelet-enhanced cost-…
lanenet: Lane-marking semantic segmentation in aerial imagery using wavelet-enhanced cost-…
Infrastructure and Traffic Monitoring in Aerial Imagery Using Deep Learning Methods
S Azimi - 2022 - elib.dlr.de
… Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced …
multiple classes from aerial imagery, which is also applicable to satellite imagery. In …
multiple classes from aerial imagery, which is also applicable to satellite imagery. In …
MarkCapsNet: Road marking extraction from aerial images using self-attention-guided capsule network
Y Yu, Y Li, C Liu, J Wang, C Yu, X Jiang… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
… Usually, most of the existing approaches concentrate on the lane marking detection issues […
segmentation models: two road marking extraction models U-Net [13] and Aerial LaneNet [21]…
segmentation models: two road marking extraction models U-Net [13] and Aerial LaneNet [21]…
[HTML][HTML] Deep learning segmentation and 3D reconstruction of road markings using multiview aerial imagery
… For the segmentation task, we applied a wavelet-enhanced fully convolutional network on …
pixel-wise lane marking segmentation data set was created using airborne imagery, called the …
pixel-wise lane marking segmentation data set was created using airborne imagery, called the …
A comprehensive review on lane marking detection using deep neural networks
… the introduction of lane marking detection approaches using deep neural … lane marking
detection system as an image segmentation problem. However, the conventional segmentation …
detection system as an image segmentation problem. However, the conventional segmentation …
Skyscapes fine-grained semantic understanding of aerial scenes
… this dataset: dense semantic segmentation and multi-class lane-marking prediction. We …
Aerial LaneNet: lane marking semantic segmentation in aerial imagery using wavelet-enhanced …
Aerial LaneNet: lane marking semantic segmentation in aerial imagery using wavelet-enhanced …
KemptenCity-Semantic Segmentation of Urban Areas for Simulation
P Buckel, SA Schneider… - ISPRS Annals of the …, 2024 - isprs-annals.copernicus.org
… (2019a) presented Aerial LaneNet, a novel network for binary lane-marking … Aerial LaneNet:
Lane-Marking Semantic Segmentation in Aerial Imagery Using Wavelet-Enhanced Cost-…
Lane-Marking Semantic Segmentation in Aerial Imagery Using Wavelet-Enhanced Cost-…
Wavelet transform feature enhancement for semantic segmentation of remote sensing images
Y Li, Z Liu, J Yang, H Zhang - Remote Sensing, 2023 - mdpi.com
… Over the past few years, aerial and satellite remote sensing technology has advanced …
Semantic segmentation is a critical aspect of remote sensing image processing that significantly …
Semantic segmentation is a critical aspect of remote sensing image processing that significantly …