Cited by 869Autonomous Vehicle Technology and SafetyRobotics and Sensor-Based LocalizationAdvanced Neural Network Applications

Autonomous vehicle perception: The technology of today and tomorrow

Van Brummelen, Jessica, O’Brien, Marie, Gruyer, Dominique, Najjaran, Homayoun·2018·Transportation Research Part C: Emerging Technologies

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Crossref · 10.1016/j.trc.2018.02.012

Cites

145 of 145 references verified0 citation errors · 0 not checkable

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  • SLAM based methods have the potential to replace a priori techniques if their performances can be increased further.

    “SLAM based methods have the potential to replace a priori techniques if their performances can be increased further [20].”
  • Localization systems consist of external sensors such as camera systems (vision), LiDAR, RADAR, ultrasonic sensor, and global navigation satellite systems, which are significantly affected by weather conditions and geographic variances.

    “Localization systems consist of external sensors such as camera systems (vision), LiDAR, RADAR, ultrasonic sensor, and global navigation satellite systems, which are significantly affected by weather conditions and geographic variances [44].”
  • RGB-D sensors have advantages including low computational cost, long range, and an internal mechanism that limits the impact of bad weather.

    “Among the advantages of these types of sensors are their low computational cost, their long-range, their ability to have an internal mechanism to limit the impact of bad weather, etc. [149].”

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Authors
Van Brummelen, J., O’Brien, M., Gruyer, D., & Najjaran, H.
Affiliations
University of British Columbia (CA)
Corresponding author
Najjaran, Homayoun
Venue
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier BV
Published
2018-04
Volume
89
Pages
384-406
ISSN
0968-090X (ISSN-L)
OpenAlex
W2792919579
Cited by
869
References
145
Citations by year
2026: 50 · 2025: 118 · 2024: 147 · 2023: 151 · 2022: 146 · 2021: 116 · 2020: 80 · 2019: 51 · 2018: 10
FWCI
34.12
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part C Emerging Technologies (publishedVersion)
  • HAL (submittedVersion)
Funders
Natural Sciences and Engineering Research Council of Canada (341887)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords
autonomous vehicles, vehicle perception, automotive sensors, sensor fusion, localization, mapping, future research directions

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