Multi-view fusion-based 3D object detection for robot indoor scene perception
To autonomously move and operate objects in cluttered indoor environments, a service robot requires the ability of 3D scene perception. Though 3D object detection can provide an object-level environmental description to fill this gap, a robot always encounters incomplete object observation, recurrin...
Saved in:
Main Authors: | Wang, Li, Li, Ruifeng, Sun, Jingwen, Liu, Xingxing, Zhao, Lijun, Seah, Hock Soon, Quah, Chee Kwang, Tandianus, Budianto |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/142133 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Multi-channel convolutional neural network based 3D object detection for indoor robot environmental perception
by: Wang, Li, et al.
Published: (2019) -
SENSOR FUSION FOR DYNAMIC OBJECT DETECTION IN AUTONOMOUS DRIVING
by: CHRISTINA LEE DAO WEN
Published: (2021) -
Less is more: Efficient 3-D object retrieval with query view selection
by: Gao, Y., et al.
Published: (2013) -
ObjectFusion: Multi-modal 3D object detection with object-centric fusion
by: CAI, Q., et al.
Published: (2023) -
THE SYSTEM ARCHITECTURE AND METHODOLOGY FOR LIDAR AND CAMERA FUSION
by: LUO SHAOBO
Published: (2016)