TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
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Abstract (arXiv)
Vision-centric joint perception and prediction (PnP) has become an emerging trend in autonomous driving research. It predicts the future states of the traffic participants in the surrounding environment from raw RGB images. However, it is still a critical challenge to synchronize features obtained at multiple camera views and timestamps due to inevitable geometric distortions and further exploit those spatial-temporal features. To address this issue, we propose a temporal bird's-eye-view pyramid transformer (TBP-Former) for vision-centric PnP, which includes two novel designs. First, a pose-synchronized BEV encoder is proposed to map raw image inputs with any camera pose at any time to a shared and synchronized BEV space for better spatial-temporal synchronization. Second, a spatial-temporal pyramid transformer is introduced to comprehensively extract multi-scale BEV features and predict future BEV states with the support of spatial-temporal priors. Extensive experiments on nuScenes dataset show that our proposed framework overall outperforms all state-of-the-art vision-based prediction methods.
Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). Builds on 51 of its 58 references that are in the map. First posted on arXiv 17 Mar 2023.
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51 of 58 references.
References · 51
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- 2021Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Predictioncited by 131
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- 2021Video Frame Interpolation Transformercited by 123
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- 2023HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View25 Jul 2023
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12 most cited of 24 All 24 (JSON)
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- 2025LiteFusion: Taming 3D Object Detectors from Vision-Based to Multi-Modal with Minimal Adaptation23 Dec 2025
- 2025BEVTraj: Map-Free End-to-End Trajectory Prediction in Bird's-Eye View with Deformable Attention and Sparse Goal Proposals12 Sep 2025
- 2025To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software28 Aug 2025
- 2025A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects24 Jun 2025
- 2025BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation5 Mar 2025
- 2024Joint Perception and Prediction for Autonomous Driving: A Survey18 Dec 2024
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- 2024Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction11 Nov 2024
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12 newest of 24 All 24 (JSON)