DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

Lidars and cameras are critical sensors that provide complementary information for 3D detection in autonomous driving. While prevalent multi-modal methods [34], [36] simply decorate raw lidar point clouds with camera features and feed them directly to existing 3D detection models, our study shows th...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 17161 - 17170
Main Authors:	Li, Yingwei, Yu, Adams Wei, Meng, Tianjian, Caine, Ben, Ngiam, Jiquan, Peng, Daiyi, Shen, Junyang, Lu, Yifeng, Zhou, Denny, Le, Quoc V., Yuille, Alan, Tan, Mingxing
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2022
Subjects:	Cameras Data models Feature extraction Laser radar Navigation and autonomous driving; 3D from multi-view and sensors Object detection Solid modeling Three-dimensional displays
ISSN:	1063-6919
Online Access:	Get full text
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