Monocular 3D object detection with Pseudo-LiDAR confidence sampling and hierarchical geometric feature extraction in 6G network
The high bandwidth and low latency of 6G network technology enable the successful application of monocular 3D object detection on vehicle platforms. Monocular 3D-object-detection-based Pseudo-LiDAR is a low-cost, low-power solution compared to LiDAR solutions in the field of autonomous driving. Howe...
Main Authors: | Jianlong Zhang, Guangzu Fang, Bin Wang, Xiaobo Zhou, Qingqi Pei, Chen Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-08-01
|
Series: | Digital Communications and Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864822000943 |
Similar Items
-
Monocular 3D Object Detection From Comprehensive Feature Distillation Pseudo-LiDAR
by: Chentao Sun, et al.
Published: (2023-01-01) -
Geometric Calibration and Radiometric Correction of LiDAR Data and Their Impact on the Quality of Derived Products
by: Wai-Yeung Yan, et al.
Published: (2011-09-01) -
Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks
by: Changsuk Oh, et al.
Published: (2024-01-01) -
Automated Geometric Quality Inspection of Prefabricated Housing Units Using BIM and LiDAR
by: Yi Tan, et al.
Published: (2020-08-01) -
LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
by: Weichen Dai, et al.
Published: (2022-10-01)