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Capturing Object Detection Uncertainty in Multi-Layer Grid Maps

Capturing Object Detection Uncertainty in Multi-Layer Grid Maps

31 January 2019
Sascha Wirges
Marcel Reith-Braun
Martin Lauer
Christoph Stiller
    3DPC
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Papers citing "Capturing Object Detection Uncertainty in Multi-Layer Grid Maps"

8 / 8 papers shown
Title
Object Detection as Probabilistic Set Prediction
Object Detection as Probabilistic Set Prediction
Georg Hess
Christoffer Petersson
Lennart Svensson
19
5
0
15 Mar 2022
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by
  Learning Features in Complementary Representations
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations
Frank Bieder
Maximilian Link
Simon Romanski
Haohao Hu
Christoph Stiller
3DPC
19
2
0
02 Mar 2022
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
K. Deepshikha
Sai Harsha Yelleni
P. K. Srijith
C.Krishna Mohan
BDL
UQCV
27
87
0
08 Aug 2021
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
222
0
20 Nov 2020
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
31
33
0
01 Sep 2020
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty
  Estimation
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
UQCV
33
117
0
14 Jun 2019
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
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
279
9,136
0
06 Jun 2015
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