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Toward Certifying Maps for Safe Registration-based Localization Under
  Adverse Conditions

Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions

8 September 2023
Johann Laconte
Daniil Lisus
T. Barfoot
ArXivPDFHTML

Papers citing "Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions"

4 / 4 papers shown
Title
Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift
Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift
Devansh R. Agrawal
Taekyung Kim
Rajiv G. Govindjee
Trushant Adeshara
Jiangbo Yu
Anurekha Ravikumar
Dimitra Panagou
17
0
0
25 Apr 2025
SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks
SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks
Shibo Zhao
Honghao Zhu
Yuanjun Gao
Beomsoo Kim
Yuheng Qiu
Aaron M. Johnson
Sebastian A. Scherer
67
1
0
03 Dec 2024
Prepared for the Worst: A Learning-Based Adversarial Attack for
  Resilience Analysis of the ICP Algorithm
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm
Ziyu Zhang
Johann Laconte
Daniil Lisus
Timothy D. Barfoot
AAML
24
2
0
08 Mar 2024
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in
  Perceptually-Degraded Environments
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments
K. Ebadi
M. Palieri
Sally Wood
C. Padgett
Ali-akbar Agha-mohammadi
47
49
0
09 Feb 2021
1