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Evidential Semantic Mapping in Off-road Environments with
  Uncertainty-aware Bayesian Kernel Inference

Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference

21 March 2024
Junyoung Kim
Junwon Seo
Jihong Min
    UQCV
ArXivPDFHTML

Papers citing "Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference"

9 / 9 papers shown
Title
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
Rohit Menon
Nils Dengler
Sicong Pan
Gokul Krishna Chenchani
Maren Bennewitz
EDL
86
0
0
06 Mar 2025
Modeling Uncertainty in 3D Gaussian Splatting through Continuous
  Semantic Splatting
Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting
Joey Wilson
Marcelino Almeida
Min Sun
Sachit Mahajan
Maani Ghaffari
Parker Ewen
Omid Ghasemalizadeh
Cheng-Hao Kuo
Arnie Sen
3DGS
49
3
0
04 Nov 2024
Uncertainty-aware Semantic Mapping in Off-road Environments with
  Dempster-Shafer Theory of Evidence
Uncertainty-aware Semantic Mapping in Off-road Environments with Dempster-Shafer Theory of Evidence
Junyoung Kim
Junwon Seo
30
1
0
10 May 2024
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with
  Quantifiable Uncertainty
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty
Joey Wilson
Yuewei Fu
Joshua Friesen
Parker Ewen
Andrew Capodieci
P. Jayakumar
Kira Barton
Maani Ghaffari
8
9
0
24 Oct 2023
Learn to Accumulate Evidence from All Training Samples: Theory and
  Practice
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Deepshikha Pandey
Qi Yu
EDL
27
15
0
19 Jun 2023
Robust Fusion for Bayesian Semantic Mapping
Robust Fusion for Bayesian Semantic Mapping
David Morilla-Cabello
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
Eduardo Montijano
31
11
0
14 Mar 2023
Uncertainty-aware Panoptic Segmentation
Uncertainty-aware Panoptic Segmentation
Kshitij Sirohi
Sajad Marvi
Daniel Buscher
Wolfram Burgard
EDL
UQCV
26
25
0
29 Jun 2022
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
268
5,635
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
247
9,042
0
06 Jun 2015
1