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On the Importance of Quantifying Visibility for Autonomous Vehicles
  under Extreme Precipitation

On the Importance of Quantifying Visibility for Autonomous Vehicles under Extreme Precipitation

7 September 2022
Clément Courcelle
Dominic Baril
Franccois Pomerleau
Johann Laconte
ArXivPDFHTML

Papers citing "On the Importance of Quantifying Visibility for Autonomous Vehicles under Extreme Precipitation"

5 / 5 papers shown
Title
Proprioception Is All You Need: Terrain Classification for Boreal
  Forests
Proprioception Is All You Need: Terrain Classification for Boreal Forests
D. LaRocque
William Guimont-Martin
David-Alexandre Duclos
Philippe Giguère
Franccois Pomerleau
27
3
0
25 Mar 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
40
2
0
08 Mar 2024
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP
  Weights
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Daniil Lisus
Johann Laconte
Keenan Burnett
T. Barfoot
28
5
0
15 Sep 2023
Toward Certifying Maps for Safe Registration-based Localization Under
  Adverse Conditions
Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions
Johann Laconte
Daniil Lisus
T. Barfoot
32
5
0
08 Sep 2023
Perception Simplex: Verifiable Collision Avoidance in Autonomous
  Vehicles Amidst Obstacle Detection Faults
Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults
Ayoosh Bansal
Hunmin Kim
Simon Yu
Bo-wen Li
N. Hovakimyan
Marco Caccamo
L. Sha
AAML
37
4
0
04 Sep 2022
1