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Leveraging Uncertainties for Deep Multi-modal Object Detection in
  Autonomous Driving

Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving

1 February 2020
Di Feng
Yifan Cao
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
    UQCV
    3DPC
ArXivPDFHTML

Papers citing "Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving"

6 / 6 papers shown
Title
Generating Evidential BEV Maps in Continuous Driving Space
Generating Evidential BEV Maps in Continuous Driving Space
Yunshuang Yuan
Hao Cheng
M. Yang
Monika Sester
33
10
0
06 Feb 2023
Priors are Powerful: Improving a Transformer for Multi-camera 3D
  Detection with 2D Priors
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors
Di Feng
Francesco Ferroni
ViT
24
1
0
31 Jan 2023
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
208
840
0
20 Dec 2020
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
223
0
20 Nov 2020
DeepReflecs: Deep Learning for Automotive Object Classification with
  Radar Reflections
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
Michael Ulrich
Claudius Gläser
Fabian Timm
38
27
0
19 Oct 2020
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
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