Original paper
Adaptive and azimuth-aware fusion network of multimodal local features for 3D object detection
Abstract
This paper focuses on the construction of strong local features and the effective fusion of image and LiDAR data for 3D object detection. We adopt different modalities of LiDAR data to generate rich features and present an adaptive and azimuth-aware network to aggregate local features from image, bird’s eye view maps and point cloud. Our network mainly consists of three subnetworks: ground plane estimation network, region proposal network and...
Paper Details
Title
Adaptive and azimuth-aware fusion network of multimodal local features for 3D object detection
Published Date
Oct 1, 2020
Journal
Volume
411
Pages
32 - 44
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Notes
History