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A Framework for Depth Estimation and Relative Localization of Ground
  Robots using Computer Vision

A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
1 August 2019
Rômulo T. Rodrigues
Pedro Miraldo
Dimos V. Dimarogonas
Antonio Pedro Aguiar
ArXiv (abs)PDFHTML

Papers citing "A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision"

4 / 4 papers shown
An observer cascade for velocity and multiple line estimation
An observer cascade for velocity and multiple line estimationIEEE International Conference on Robotics and Automation (ICRA), 2022
André Mateus
P. Lima
Pedro Miraldo
81
1
0
03 Mar 2022
Self-supervised Monocular Multi-robot Relative Localization with
  Efficient Deep Neural Networks
Self-supervised Monocular Multi-robot Relative Localization with Efficient Deep Neural NetworksIEEE International Conference on Robotics and Automation (ICRA), 2021
Shushuai Li
Christophe De Wagter
Guido C. H. E de Croon
SSL
285
30
0
26 May 2021
On Incremental Structure-from-Motion using Lines
On Incremental Structure-from-Motion using LinesIEEE Transactions on robotics (TRO), 2021
André Mateus
Omar Tahri
Antonio Pedro Aguiar
P. Lima
Pedro Miraldo
134
15
0
24 May 2021
Active Depth Estimation: Stability Analysis and its Applications
Active Depth Estimation: Stability Analysis and its ApplicationsIEEE International Conference on Robotics and Automation (ICRA), 2020
Rômulo T. Rodrigues
Pedro Miraldo
Dimos V. Dimarogonas
Antonio Pedro Aguiar
77
6
0
16 Mar 2020
1
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