Web: http://arxiv.org/abs/2209.06428

Sept. 15, 2022, 1:13 a.m. | Kaiqi Chen, Jianhua Zhang, Jialing Liu, Qiyi Tong, Ruyu Liu, Shengyong Chen

cs.CV updates on arXiv.org arxiv.org

Visual Simultaneous Localization and Mapping (vSLAM) has achieved great
progress in the computer vision and robotics communities, and has been
successfully used in many fields such as autonomous robot navigation and AR/VR.
However, vSLAM cannot achieve good localization in dynamic and complex
environments. Numerous publications have reported that, by combining with the
semantic information with vSLAM, the semantic vSLAM systems have the capability
of solving the above problems in recent years. Nevertheless, there is no
comprehensive survey about semantic vSLAM. …

arxiv localization mapping semantic survey

More from arxiv.org / cs.CV updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Senior Data Engineer

@ HealthVerity | United States

Data Analyst - Business Insights

@ Sertis | Bangkok

Biomarker Data Management Specialist

@ Precision Medicine Group | Remote, United States