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

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Introspective perception for mobile robots

Open access
Rabiee, Sadegh, Biswas, Joydeep·2023·Artificial Intelligence
DOI 10.1016/j.artint.2023.103999
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Citations

Cites

Research works printed but not linked: 21

  1. Kaess, 2009, Covariance recovery from a square root information matrix for data association, Robot. Auton. Syst., 57, 1198, 10.1016/j.robot.2009.06.008 · DOI
  2. Pereira, 2013, Risk-aware path planning for autonomous underwater vehicles using predictive ocean models, J. Field Robot., 30, 741, 10.1002/rob.21472 · DOI
  3. Pandey, 2015, Automatic extrinsic calibration of vision and lidar by maximizing mutual information, J. Field Robot., 32, 696, 10.1002/rob.21542 · DOI
  4. Zhang, 2005, Dynamic Cramer-Rao bound for target tracking in clutter, IEEE Trans. Aerosp. Electron. Syst., 41, 1154, 10.1109/TAES.2005.1561880 · DOI
  5. Quinonero-Candela, 2005, A unifying view of sparse approximate Gaussian process regression, J. Mach. Learn. Res., 6, 1939
  6. Grimmett, 2016, Introspective classification for robot perception, Int. J. Robot. Res., 35, 743, 10.1177/0278364915587924 · DOI
  7. Goodfellow, 2014, Generative adversarial nets, Adv. Neural Inf. Process. Syst., 27
  8. Mitsch, 2017, Formal verification of obstacle avoidance and navigation of ground robots, Int. J. Robot. Res., 36, 1312, 10.1177/0278364917733549 · DOI
  9. Gurău, 2018, Learn from experience: probabilistic prediction of perception performance to avoid failure, Int. J. Robot. Res., 37, 981, 10.1177/0278364917730603 · DOI
  10. Stronger, 2006, Towards autonomous sensor and actuator model induction on a mobile robot, Connect. Sci., 18, 97, 10.1080/09540090600768690 · DOI
  11. Ostafew, 2016, Robust constrained learning-based NMPC enabling reliable mobile robot path tracking, Int. J. Robot. Res., 35, 1547, 10.1177/0278364916645661 · DOI
  12. Blackmore, 2011, Chance-constrained optimal path planning with obstacles, IEEE Trans. Robot., 27, 1080, 10.1109/TRO.2011.2161160 · DOI
  13. Rabiee, 2022, Competence-aware path planning via introspective perception, IEEE Robot. Autom. Lett., 7, 3218, 10.1109/LRA.2022.3145517 · DOI
  14. Black, 1996, On the unification of line processes, outlier rejection, and robust statistics with applications in early vision, Int. J. Comput. Vis., 19, 57, 10.1007/BF00131148 · DOI
  15. Fischler, 1981, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM, 24, 381, 10.1145/358669.358692 · DOI · Paper page
  16. Mur-Artal, 2017, ORB-SLAM2: an open-source slam system for monocular, stereo, and RGB-d cameras, IEEE Trans. Robot., 33, 1255, 10.1109/TRO.2017.2705103 · DOI · Paper page
  17. Burri, 2016, The EuRoC micro aerial vehicle datasets, Int. J. Robot. Res., 35, 1157, 10.1177/0278364915620033 · DOI
  18. Brunner, 2013, Selective combination of visual and thermal imaging for resilient localization in adverse conditions: day and night, smoke and fire, J. Field Robot., 30, 641, 10.1002/rob.21464 · DOI
  19. Maaten, 2008, Visualizing data using t-SNE, J. Mach. Learn. Res., 9, 2579
  20. Julier, 2004, Unscented filtering and nonlinear estimation, Proc. IEEE, 92, 401, 10.1109/JPROC.2003.823141 · DOI
  21. Bajcsy, 1988, Active perception, Proc. IEEE, 76, 966, 10.1109/5.5968 · DOI

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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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