A Systematic Mapping of Approaches and Techniques in Object Navigation

被引：0

作者：

Costa Turossi, Marcos Tulio ^{[1
]}

Ribeiro, Carlos Eduardo ^{[2
]}

de Almeida, Diogo Henrique ^{[1
]}

Silva, Mateus de Oliveira ^{[1
]}

Todt, Eduardo ^{[1
]}

机构：

[1] Fed Univ Parana UFPR, Dept Informat, Curitiba, PR, Brazil

[2] State Univ Northern Parana UENP, Dept Technol Sci CCT, Bandeirantes, PR, Brazil

来源：

2023 LATIN AMERICAN ROBOTICS SYMPOSIUM, LARS, 2023 BRAZILIAN SYMPOSIUM ON ROBOTICS, SBR, AND 2023 WORKSHOP ON ROBOTICS IN EDUCATION, WRE | 2023年

关键词：

ObjectNav; Object Navigation; Object Navigation Approaches; Semantic Navigation; Object-Goal-Based Robotics; Systematic Literature Mapping;

D O I：

10.1109/LARS/SBR/WRE59448.2023.10333048

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Object navigation (ObjectNav) is a widely used method for visual perception tasks in 3D environments. ObjectNav is based on the use of a variety of technologies and approaches, with a particular focus on semantic navigation. This systematic literature mapping (SLM) study aims to provide a comprehensive overview of the state of the art in this area, identify trends and gaps in current research, and recommend direction for future work. We systematically searched for five key scientific databases: ACM Digital Library, IEEE Digital Library (IEC), Google Scholar, CAPES Journals, and Web of Science. Our inclusion and exclusion criteria led to the identification of 28 relevant articles. The results of our systematic mapping are instrumental in understanding the current landscape of object navigation and in identifying promising avenues for future research.

引用

页码：454 / 459

页数：6

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