2021
DOI: 10.1007/s13735-021-00209-2
|View full text |Cite
|
Sign up to set email alerts
|

Reinforcement learning applied to machine vision: state of the art

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 77 publications
0
2
0
Order By: Relevance
“…Reinforcement learning is widely been used in many computer vision problems [21,30], where it has not been explored for the problem of VD in real-world environments. Reinforcement learning techniques have surely accomplished complex tasks with higher effective and efficient results.…”
Section: Reinforcement Learning For Vdmentioning
confidence: 99%
“…Reinforcement learning is widely been used in many computer vision problems [21,30], where it has not been explored for the problem of VD in real-world environments. Reinforcement learning techniques have surely accomplished complex tasks with higher effective and efficient results.…”
Section: Reinforcement Learning For Vdmentioning
confidence: 99%
“…In order for autonomous vehicles to drive accident-free, that is, safely, in a real traffic environment, software subsystems must be designed perfectly. An autonomous vehicle has a minimum of 5 software subsystems [1,2]; localization, perception, planning, vehicle control and system management. Localization is responsible for estimating vehicle location.…”
Section: Introductionmentioning
confidence: 99%