Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time
LiDAR 3D Object Detection

Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection

14 September 2018

Klaus C. J. Dietmayer

Papers citing "Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection"

17 / 17 papers shown

Title
Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar Patrick Palmer Martin Krueger R. Altendorfer Ganesh Adam Torsten Bertram 3DPC 23 9 0 10 Aug 2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti Michelle Karg Christian Wirth Azarm Nowzad S. Albayrak 22 3 0 15 Jun 2023
Generating Evidential BEV Maps in Continuous Driving Space Yunshuang Yuan Hao Cheng M. Yang Monika Sester 28 10 0 06 Feb 2023
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 47 53 0 16 Sep 2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation Yifan Zhang Qijian Zhang Zhiyu Zhu Junhui Hou Yixuan Yuan 3DPC 39 52 0 06 Jul 2022
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds Chao Qi Jianqin Yin UQCV 3DPC BDL 22 2 0 05 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty Giorgio Cantarini Federico Figari Tomenotti Nicoletta Noceti Francesca Odone 3DH 11 12 0 02 Nov 2021
Accurate 3D Object Detection using Energy-Based Models Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon 3DPC 32 10 0 08 Dec 2020
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
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 26 24 0 04 Oct 2020
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving Jianhao Jiao Peng Yun L. Tai Ming-Yu Liu 3DPC 19 10 0 29 Sep 2020
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles Hujie Pan Zining Wang Wei Zhan M. Tomizuka UQCV 3DPC 28 27 0 22 Jun 2020
Learning an Uncertainty-Aware Object Detector for Autonomous Driving Gregory P. Meyer Niranjan Thakurdesai UQCV 17 60 0 24 Oct 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 21 115 0 09 Mar 2019
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 142 251 0 03 May 2018
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 521 0 21 Sep 2016