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Cited by 6Robotics and Sensor-Based LocalizationAdvanced Vision and ImagingAutonomous Vehicle Technology and Safety

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Introspective perception for mobile robots

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Rabiee, Sadegh, Biswas, Joydeep·2023·Artificial Intelligence
DOI 10.1016/j.artint.2023.103999
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Research works printed but not linked: 21

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Metadata

Authors
Rabiee, S., & Biswas, J.
Affiliations
The University of Texas at Austin (US)
Corresponding author
Rabiee, Sadegh
ORCID
Venue
Artificial Intelligence
Publisher
Elsevier BV
Published
2023-11
Volume
324
Pages
103999
ISSN
0004-3702 (ISSN-L)
DOI
10.1016/j.artint.2023.103999
OpenAlex
W4386368316
Cited by
6
References
3
Citations by year
2026: 1 · 2025: 2 · 2024: 3
FWCI
0.73
Type
journal article
Language
en
Open access
Licence
Locations
Artificial Intelligence (acceptedVersion)
Funders
  • DARPA (HR001120C0031)
  • National Science Foundation (IIS-1954778, CAREER-2046955)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
uncertainty estimation, mobile robots, autonomous robots, data association, consistency constraints, stereo depth estimation, visual SLAM, risk-aware planning, state estimation

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CoChat. (2026). Citation check: Introspective perception for mobile robots. https://app.cochat.ai/papers/10.1016/j.artint.2023.103999
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Rabiee, S., & Biswas, J. (2023). Introspective perception for mobile robots. Artificial Intelligence. https://doi.org/10.1016/j.artint.2023.103999