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CL-fusionBEV: 3D object detection method with camera-LiDAR fusion in Bird’s Eye View

Abstract In the wave of research on autonomous driving, 3D object detection from the Bird’s Eye View (BEV) perspective has emerged as a pivotal area of focus. The essence of this challenge is the effective fusion of camera and LiDAR data into the BEV. Current approaches predominantly train and predi...

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Principais autores: Peicheng Shi, Zhiqiang Liu, Xinlong Dong, Aixi Yang
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2024-07-01
Serier:Complex & Intelligent Systems
Fag:
Bird’s Eye View (BEV) perception
3D object detection
Attention mechanism
Autonomous driving
Online adgang:https://doi.org/10.1007/s40747-024-01567-0
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