Guidance of mobile robot navigation in urban environment using human-centered cloud map

Jae Yeong Lee; Sunglok Choi; Seunghwan Park; Jaeho Lim; Seungmin Choi; Seohyun Jeon; Yunseok Lee; Beomsu Seo; Wonpil Yu

Guidance of mobile robot navigation in urban environment using human-centered cloud map

Jae Yeong Lee
, Sunglok Choi
, Seunghwan Park
, Jaeho Lim
, Seungmin Choi
, Seohyun Jeon
, Yunseok Lee
, Beomsu Seo
, Wonpil Yu

Dept. of Computer Science and Engineering

Electronics and Telecommunications Research Institute

Research output: Contribution to journal › Conference article › peer-review

Abstract

Autonomous navigation in a city-scale environment brings several technical challenges that are difficult to solve by traditional approaches. In this paper, we briefly discuss the limitations of the conventional navigation methods based on robot-centered environment modeling and understanding, and present recent an ongoing developments of the DeepGuider Project. The DeepGuider Project aims to develop a navigation guidance system that enables robots to navigate in urban environment without pre-mapping of the environment. In the paper, the main concepts and overall system architecture is briefly presented.

Original language	English
Pages (from-to)	48-52
Number of pages	5
Journal	CEUR Workshop Proceedings
Volume	2487
State	Published - 2019
Event	Joint 1st International Workshop on the Semantic Descriptor, Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy and the 3rd International Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics, SDMM 2019 and AnSWeR 2019 - Macau, China Duration: 8 Nov 2019 → …

Cite this

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title = "Guidance of mobile robot navigation in urban environment using human-centered cloud map",

abstract = "Autonomous navigation in a city-scale environment brings several technical challenges that are difficult to solve by traditional approaches. In this paper, we briefly discuss the limitations of the conventional navigation methods based on robot-centered environment modeling and understanding, and present recent an ongoing developments of the DeepGuider Project. The DeepGuider Project aims to develop a navigation guidance system that enables robots to navigate in urban environment without pre-mapping of the environment. In the paper, the main concepts and overall system architecture is briefly presented.",

author = "Lee, \{Jae Yeong\} and Sunglok Choi and Seunghwan Park and Jaeho Lim and Seungmin Choi and Seohyun Jeon and Yunseok Lee and Beomsu Seo and Wonpil Yu",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 by the paper{\textquoteright}s authors.; Joint 1st International Workshop on the Semantic Descriptor, Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy and the 3rd International Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics, SDMM 2019 and AnSWeR 2019 ; Conference date: 08-11-2019",

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T1 - Guidance of mobile robot navigation in urban environment using human-centered cloud map

AU - Lee, Jae Yeong

AU - Choi, Sunglok

AU - Park, Seunghwan

AU - Lim, Jaeho

AU - Choi, Seungmin

AU - Jeon, Seohyun

AU - Lee, Yunseok

AU - Seo, Beomsu

AU - Yu, Wonpil

PY - 2019

Y1 - 2019

N2 - Autonomous navigation in a city-scale environment brings several technical challenges that are difficult to solve by traditional approaches. In this paper, we briefly discuss the limitations of the conventional navigation methods based on robot-centered environment modeling and understanding, and present recent an ongoing developments of the DeepGuider Project. The DeepGuider Project aims to develop a navigation guidance system that enables robots to navigate in urban environment without pre-mapping of the environment. In the paper, the main concepts and overall system architecture is briefly presented.

AB - Autonomous navigation in a city-scale environment brings several technical challenges that are difficult to solve by traditional approaches. In this paper, we briefly discuss the limitations of the conventional navigation methods based on robot-centered environment modeling and understanding, and present recent an ongoing developments of the DeepGuider Project. The DeepGuider Project aims to develop a navigation guidance system that enables robots to navigate in urban environment without pre-mapping of the environment. In the paper, the main concepts and overall system architecture is briefly presented.

UR - https://www.scopus.com/pages/publications/85074626799

M3 - Conference article

AN - SCOPUS:85074626799

SN - 1613-0073

VL - 2487

SP - 48

EP - 52

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - Joint 1st International Workshop on the Semantic Descriptor, Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy and the 3rd International Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics, SDMM 2019 and AnSWeR 2019

Y2 - 8 November 2019

ER -

Guidance of mobile robot navigation in urban environment using human-centered cloud map

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