articleIEEE Transactions on Intelligent VehiclesSep 1, 2017GREEN OA

Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving

VeDeCoM Institute · Institut national de recherche en sciences et technologies du numérique · +3 more institutions

Indexed incrossref

Abstract

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM) field when considering the recent evolution of autonomous driving. The growing interest regarding self-driving cars has given new directions to localization and mapping techniques. In this survey, we give an overview of the different branches of SLAM before going into the details of specific trends that are of interest when considered with autonomous applications in mind. We first present the limits of classical approaches for autonomous driving and discuss the criteria that are essential for this kind of application. We then review the methods where the identified challenges are tackled. We mostly focus on approaches…

Citation impact

866
total citations
FWCI
727.10
Percentile
100%
References
318
Citations per year

Authors

4

Topics & keywords

Keywords
  • Field (mathematics)
  • Simultaneous localization and mapping
  • Computer science
  • Domain (mathematical analysis)
  • Reuse
  • Scale (ratio)
  • Focus (optics)
  • Data science
UN Sustainable Development Goals
  • Sustainable cities and communities
No related works found for this paper.