Cited by 885Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

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

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Bresson, Guillaume, Alsayed, Zayed, Yu, Li, Glaser, Sebastien·2017·IEEE Transactions on Intelligent Vehicles

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 building and reusing long-term maps in various conditions (weather, season, etc.). We also go through the emerging domain of multivehicle SLAM and its link with self-driving cars. We survey the different paradigms of that field (centralized and distributed) and the existing solutions. Finally, we conclude by giving an overview of the various large-scale experiments that have been carried out until now and discuss the remaining challenges and future orientations.

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Crossref · 10.1109/tiv.2017.2749181

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Authors
Bresson, G., Alsayed, Z., Yu, L., & Glaser, S.
Affiliations
  • VeDeCoM Institute (FR)
  • Institut national de recherche en sciences et technologies du numérique (FR)
Venue
IEEE Transactions on Intelligent Vehicles
Published
2017-09
Volume
2
Issue
3
Pages
194-220
ISSN
  • 2379-8858 (ISSN-L)
  • 2379-8904
OpenAlex
W2750632489
Cited by
885
References
281
Citations by year
2026: 55 · 2025: 89 · 2024: 131 · 2023: 128 · 2022: 147 · 2021: 112 · 2020: 113 · 2019: 72 · 2018: 37 · 2017: 1
FWCI
56.14
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Intelligent Vehicles (publishedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Keywords
SLAM, autonomous driving, autonomous vehicles, distributed SLAM, weather robustness

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