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Vision-centric bev perception: A survey
In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant
interest from both industry and academia due to its inherent advantages, such as providing …
interest from both industry and academia due to its inherent advantages, such as providing …
BEV perception for autonomous driving: State of the art and future perspectives
The remarkable performance of Bird's Eye View (BEV) in perception tasks has led to its
gradual emergence as a focal point of attention in both industry and academia …
gradual emergence as a focal point of attention in both industry and academia …
Pop-3d: Open-vocabulary 3d occupancy prediction from images
We describe an approach to predict open-vocabulary 3D semantic voxel occupancy map
from input 2D images with the objective of enabling 3D grounding, segmentation and …
from input 2D images with the objective of enabling 3D grounding, segmentation and …
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 …
Occfeat: Self-supervised occupancy feature prediction for pretraining bev segmentation networks
We introduce a self-supervised pretraining method called OccFeat for camera-only Bird's-
Eye-View (BEV) segmentation networks. With OccFeat we pretrain a BEV network via …
Eye-View (BEV) segmentation networks. With OccFeat we pretrain a BEV network via …
Improving Bird's Eye View Semantic Segmentation by Task Decomposition
Semantic segmentation in bird's eye view (BEV) plays a crucial role in autonomous driving.
Previous methods usually follow an end-to-end pipeline directly predicting the BEV …
Previous methods usually follow an end-to-end pipeline directly predicting the BEV …
Style blind domain generalized semantic segmentation via covariance alignment and semantic consistence contrastive learning
Deep learning models for semantic segmentation often experience performance
degradation when deployed to unseen target domains unidentified during the training …
degradation when deployed to unseen target domains unidentified during the training …
Pointbev: A sparse approach for bev predictions
Abstract Bird's-eye View (BeV) representations have emerged as the de-facto shared space
in driving applications offering a unified space for sensor data fusion and supporting various …
in driving applications offering a unified space for sensor data fusion and supporting various …
Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird's eye view
Vision-based Bird's Eye View (BEV) representation is an emerging perception formulation
for autonomous driving. The core challenge is to construct BEV space with multi-camera …
for autonomous driving. The core challenge is to construct BEV space with multi-camera …
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Recent advancements in bird's eye view (BEV) representations have shown remarkable
promise for in-vehicle 3D perception. However, while these methods have achieved …
promise for in-vehicle 3D perception. However, while these methods have achieved …