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Learning an Uncertainty-Aware Object Detector for Autonomous Driving

Learning an Uncertainty-Aware Object Detector for Autonomous Driving

24 October 2019
Gregory P. Meyer
Niranjan Thakurdesai
    UQCV
ArXivPDFHTML

Papers citing "Learning an Uncertainty-Aware Object Detector for Autonomous Driving"

15 / 15 papers shown
Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties
Jiaxiang Yi
Miguel A. Bessa
UD
PER
UQCV
39
0
0
05 May 2025
Object criticality for safer navigation
Object criticality for safer navigation
Andrea Ceccarelli
Leonardo Montecchi
36
0
0
25 Apr 2024
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
64
6
0
18 Mar 2024
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise
  Inter-LiDAR Uncertainty Propagation
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
M. Jung
Sangwoo Jung
Ayoung Kim
25
16
0
26 May 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token
  Halting
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
32
8
0
09 Mar 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Illia Oleksiienko
Alexandros Iosifidis
3DPC
15
1
0
12 Feb 2023
Estimating Regression Predictive Distributions with Sample Networks
Estimating Regression Predictive Distributions with Sample Networks
Ali Harakeh
Jordan S. K. Hu
Naiqing Guan
Steven L. Waslander
Liam Paull
BDL
UQCV
20
4
0
24 Nov 2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty
  Estimation
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
Yifan Zhang
Qijian Zhang
Zhiyu Zhu
Junhui Hou
Yixuan Yuan
3DPC
34
52
0
06 Jul 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li
Adams Wei Yu
Tianjian Meng
Benjamin Caine
Jiquan Ngiam
...
Yifeng Lu
Denny Zhou
Quoc V. Le
Alan Yuille
Mingxing Tan
3DPC
37
327
0
15 Mar 2022
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting
  through Multi-View Fusion of LiDAR Data
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
A. Laddha
Shivam Gautam
Stefan Palombo
Shreyash Pandey
Carlos Vallespi-Gonzalez
3DPC
83
29
0
21 Apr 2021
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
183
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
8
221
0
20 Nov 2020
BirdNet: a 3D Object Detection Framework from LiDAR information
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltrán
Carlos Guindel
Francisco Miguel Moreno
Daniel Cruzado
F. García
A. D. L. Escalera
3DPC
132
251
0
03 May 2018
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
742
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
247
9,109
0
06 Jun 2015
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