LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection

LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection

This paper presents a novel multi-view 3D object detection framework, Long-Term Spatial–Temporal Bird’s-Eye View (LST-BEV), designed to improve performance in autonomous driving. Traditional 3D detection relies on sensors like LiDAR, but visual perception using multi-camera systems is emerging as a...

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Bibliographic Details
Main Authors: Qijun Feng, Chunyang Zhao, Pengfei Liu, Zhichao Zhang, Yue Jin, Wanglin Tian
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
autonomous driving
bird’s-eye view (BEV)
3D object detection
large kernel convolution
long-term temporal features
Online Access:https://www.mdpi.com/1424-8220/25/13/4040
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