A survey of 3D object detection algorithms
3D object detection is a fundamental problem in autonomous driving,virtual reality,robotics,and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds,such as the closest 3D box surrounding the pedestrians or vehicles.The...
Saved in:
| Main Authors: | Zhe HUANG, Yongcai WANG, Deying LI |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2023-03-01
|
| Series: | 智能科学与技术学报 |
| Subjects: | |
| Online Access: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202312 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MS3D: A Multi-Scale Feature Fusion 3D Object Detection Method for Autonomous Driving Applications
by: Ying Li, et al.
Published: (2024-11-01) -
CaLiJD: Camera and LiDAR Joint Contender for 3D Object Detection
by: Jiahang Lyu, et al.
Published: (2024-12-01) -
2D Instance-Guided Pseudo-LiDAR Point Cloud for Monocular 3D Object Detection
by: Rui Gao, et al.
Published: (2024-01-01) -
Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection
by: Hengsong Liu, et al.
Published: (2025-01-01) -
Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving
by: Ambati Pravallika, et al.
Published: (2024-01-01)