Bird's-Eye View Semantic Segmentation

15 papers with code • 2 benchmarks • 2 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

zhiqi-li/BEVFormer 31 Mar 2022

In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries.

Cross-view Transformers for real-time Map-view Semantic Segmentation

bradyz/cross_view_transformers CVPR 2022

The architecture consists of a convolutional image encoder for each view and cross-view transformer layers to infer a map-view semantic segmentation.

CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

derrickxunu/cobevt 5 Jul 2022

The extensive experiments on the V2V perception dataset, OPV2V, demonstrate that CoBEVT achieves state-of-the-art performance for cooperative BEV semantic segmentation.

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

ZRandomize/MatrixVT ICCV 2023

This paper proposes an efficient multi-camera to Bird's-Eye-View (BEV) view transformation method for 3D perception, dubbed MatrixVT.

Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D

nv-tlabs/lift-splat-shoot ECCV 2020

By training on the entire camera rig, we provide evidence that our model is able to learn not only how to represent images but how to fuse predictions from all cameras into a single cohesive representation of the scene while being robust to calibration error.

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

wayveai/fiery ICCV 2021

We present FIERY: a probabilistic future prediction model in bird's-eye view from monocular cameras.

PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

megvii-research/petr ICCV 2023

More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?

valeoai/pointbev 16 Jun 2022

Building 3D perception systems for autonomous vehicles that do not rely on high-density LiDAR is a critical research problem because of the expense of LiDAR systems compared to cameras and other sensors.

LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation

valeoai/LaRa 27 Jun 2022

Recent works in autonomous driving have widely adopted the bird's-eye-view (BEV) semantic map as an intermediate representation of the world.