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CoordiNet: uncertainty-aware pose regressor for reliable vehicle
  localization

CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization

19 March 2021
Arthur Moreau
Nathan Piasco
D. Tsishkou
B. Stanciulescu
A. de La Fortelle
ArXivPDFHTML

Papers citing "CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization"

8 / 8 papers shown
Title
PoseINN: Realtime Visual-based Pose Regression and Localization with
  Invertible Neural Networks
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks
Zirui Zang
Ahmad Amine
Rahul Mangharam
41
0
0
20 Apr 2024
HR-APR: APR-agnostic Framework with Uncertainty Estimation and
  Hierarchical Refinement for Camera Relocalisation
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Changkun Liu
Shuai Chen
Yukun Zhao
Huajian Huang
V. Prisacariu
Tristan Braud
37
9
0
22 Feb 2024
Neural Refinement for Absolute Pose Regression with Feature Synthesis
Neural Refinement for Absolute Pose Regression with Feature Synthesis
Shuai Chen
Yash Bhalgat
Xinghui Li
Jiawang Bian
Kejie Li
Zirui Wang
V. Prisacariu
29
18
0
17 Mar 2023
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose
  Regression and Odometry-aided Absolute Pose Regression
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression
Felix Ott
N. Raichur
David Rügamer
Tobias Feigl
Heiko Neumann
Bernd Bischl
Christopher Mutschler
28
1
0
01 Aug 2022
Autoencoder-based background reconstruction and foreground segmentation
  with background noise estimation
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation
Bruno Sauvalle
A. de La Fortelle
21
12
0
15 Dec 2021
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and
  Odometry
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Noha Radwan
Abhinav Valada
Wolfram Burgard
70
240
0
23 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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
285
9,138
0
06 Jun 2015
1