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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

22 June 2020
Hujie Pan
Zining Wang
Wei Zhan
M. Tomizuka
    UQCV
    3DPC
ArXivPDFHTML

Papers citing "Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles"

4 / 4 papers shown
Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
66
6
0
18 Mar 2024
Generating Evidential BEV Maps in Continuous Driving Space
Generating Evidential BEV Maps in Continuous Driving Space
Yunshuang Yuan
Hao Cheng
M. Yang
Monika Sester
28
10
0
06 Feb 2023
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
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
1