ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.13170
  4. Cited By
On Designing Consistent Covariance Recovery from a Deep Learning Visual
  Odometry Engine

On Designing Consistent Covariance Recovery from a Deep Learning Visual Odometry Engine

19 March 2024
J. Nir
Dennis Giaya
Hanumant Singh
ArXivPDFHTML

Papers citing "On Designing Consistent Covariance Recovery from a Deep Learning Visual Odometry Engine"

2 / 2 papers shown
Title
Probabilistic Volumetric Fusion for Dense Monocular SLAM
Probabilistic Volumetric Fusion for Dense Monocular SLAM
Antoni Rosinol
J. Leonard
Luca Carlone
MDE
41
17
0
03 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1