Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Developing an expansion‐based obstacle detection using panoptic segmentation
Developing an expansion‐based obstacle detection using panoptic segmentation
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Saied Pirasteh
,
Masood Varshosaz
,
Samira Badrloo
,
Jonathan Li
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Journal of Field Robotics
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://onlinelibrary.wiley.com/doi/10.1002/rob.22319
Similar Items
Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance
by: Daniel W. Carruth, et al.
Published: (2024)
A multiscale feature fusion‐guided lightweight semantic segmentation network
by: Xin Ye, et al.
Published: (2024)
A simulation‐assisted point cloud segmentation neural network for human–robot interaction applications
by: Jingxin Lin, et al.
Published: (2024)
MPC‐based cooperative multiagent search for multiple targets using a Bayesian framework
by: Hu Xiao, et al.
Published: (2024)
Terrain‐aware path planning via semantic segmentation and uncertainty rejection filter with adversarial noise for mobile robots
by: Kangneoung Lee, et al.
Published: (2024)