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Inferring Spatial Uncertainty in Object Detection
v1v2 (latest)

Inferring Spatial Uncertainty in Object Detection

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
7 March 2020
Zining Wang
Di Feng
Yiyang Zhou
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
Masayoshi Tomizuka
Wei Zhan
ArXiv (abs)PDFHTML

Papers citing "Inferring Spatial Uncertainty in Object Detection"

11 / 11 papers shown
Generating Evidential BEV Maps in Continuous Driving Space
Generating Evidential BEV Maps in Continuous Driving SpaceIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2023
Yunshuang Yuan
Hao Cheng
M. Yang
Monika Sester
312
20
0
06 Feb 2023
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty
  Estimation
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty EstimationInternational Journal of Computer Vision (IJCV), 2022
Yifan Zhang
Qijian Zhang
Zhiyu Zhu
Xianqiang Lyu
Yixuan Yuan
3DPC
639
81
0
06 Jul 2022
Multi-Agent Active Search using Detection and Location Uncertainty
Multi-Agent Active Search using Detection and Location UncertaintyIEEE International Conference on Robotics and Automation (ICRA), 2022
Arundhati Banerjee
Ramina Ghods
J. Schneider
240
3
0
09 Mar 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception
Reducing Overconfidence Predictions for Autonomous Driving PerceptionIEEE Access (IEEE Access), 2022
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
422
14
0
16 Feb 2022
Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for
  Object Detection
Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for Object DetectionIEEE Transactions on Image Processing (TIP), 2021
Jeffri Murrugarra-Llerena
Luis Felipe de Araujo Zeni
Lucas N. Kirsten
C. R. Jung
355
56
0
10 Jun 2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Uncertainty for Identifying Open-Set Errors in Visual Object DetectionIEEE Robotics and Automation Letters (RA-L), 2021
Dimity Miller
Niko Sünderhauf
Michael Milford
Feras Dayoub
EDL
271
54
0
03 Apr 2021
A Review of Testing Object-Based Environment Perception for Safe
  Automated Driving
A Review of Testing Object-Based Environment Perception for Safe Automated DrivingAutomotive Innovation (AI), 2021
Michael Hoss
Maike Scholtes
L. Eckstein
221
59
0
16 Feb 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
370
140
0
02 Jan 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
AAMLUQCVEDL
396
298
0
20 Nov 2020
Labels Are Not Perfect: Improving Probabilistic Object Detection via
  Label Uncertainty
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
Di Feng
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
UQCV
231
6
0
10 Aug 2020
Towards Better Performance and More Explainable Uncertainty for 3D
  Object Detection of Autonomous Vehicles
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles
Hujie Pan
Zining Wang
Wei Zhan
Masayoshi Tomizuka
UQCV3DPC
219
28
0
22 Jun 2020
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