UIF-BEV: An Underlying Information Fusion Framework for Bird's-Eye-View Semantic Segmentation
Semantic segmentation based on Bird's-eye-view (BEV) is crucial for autonomous driving.
However, current methods for voxel-uplifting-based depth estimation often result in flattened …
However, current methods for voxel-uplifting-based depth estimation often result in flattened …
Bevsegformer: Bird's eye view semantic segmentation from arbitrary camera rigs
Semantic segmentation in bird's eye view (BEV) is an important task for autonomous driving.
Though this task has attracted a large amount of research efforts, it is still challenging to …
Though this task has attracted a large amount of research efforts, it is still challenging to …
Lara: Latents and rays for multi-camera bird's-eye-view semantic segmentation
Recent works in autonomous driving have widely adopted the bird'seye-view (BEV)
semantic map as an intermediate representation of the world. Online prediction of these BEV …
semantic map as an intermediate representation of the world. Online prediction of these BEV …
Cobevt: Cooperative bird's eye view semantic segmentation with sparse transformers
Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for
autonomous driving. Although recent literature has made significant progress on BEV map …
autonomous driving. Although recent literature has made significant progress on BEV map …
A cross-scale hierarchical transformer with correspondence-augmented attention for inferring bird's-eye-view semantic segmentation
As bird's-eye-view (BEV) semantic segmentation is simple-to-visualize and easy-to-handle,
it has been applied in autonomous driving to provide the surrounding information to …
it has been applied in autonomous driving to provide the surrounding information to …
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation
Abstract Bird's Eye View (BEV) semantic segmentation is a critical task in autonomous
driving. However, existing Transformer-based methods confront difficulties in transforming …
driving. However, existing Transformer-based methods confront difficulties in transforming …
SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
J Ye, Q Luo, J Yu, H Zhong, Z Zheng… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper aims at achieving fine-grained building attribute segmentation in a cross-view
scenario ie using satellite and street-view image pairs. The main challenge lies in …
scenario ie using satellite and street-view image pairs. The main challenge lies in …
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation
Q Chen, X Qi - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
Retrieving spatial information and understanding the semantic information of the
surroundings are important for Bird's-Eye-View (BEV) semantic segmentation. In the …
surroundings are important for Bird's-Eye-View (BEV) semantic segmentation. In the …
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
Abstract Bird's-eye-view (BEV) grid is a common representation for the perception of road
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …
Bird's-Eye View Semantic Segmentation for Autonomous Driving through the Large Kernel Attention Encoder and Bilinear-Attention Transform Module
K Li, X Wu, W Zhang, W Yu - World Electric Vehicle Journal, 2023 - mdpi.com
Building an autonomous driving system requires a detailed and unified semantic
representation from multiple cameras. The bird's eye view (BEV) has demonstrated …
representation from multiple cameras. The bird's eye view (BEV) has demonstrated …