Bird's-Eye View Semantic Segmentation

6 papers with code • 1 benchmarks • 2 datasets

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Most implemented papers

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.

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.

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.

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.

Model-Based Imitation Learning for Urban Driving

wayveai/mile 14 Oct 2022

Our approach is the first camera-only method that models static scene, dynamic scene, and ego-behaviour in an urban driving environment.