Uncertainty-aware Perception Models for Off-road Autonomous Unmanned
Ground Vehicles

Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles

22 September 2022

John N. Karigiannis

Mohammed A. Yousefhussien

Papers citing "Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles"

19 / 19 papers shown

Title
ORFD: A Dataset and Benchmark for Off-Road Freespace Detection Chen Min Weizhong Jiang Dawei Zhao Jiaolong Xu Liang Xiao Yiming Nie Bin Dai 3DPC 29 57 0 20 Jun 2022
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map Xiaoyi Cai Michael Everett Jonathan R. Fink Jonathan P. How 63 53 0 25 Mar 2022
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images Galadrielle Humblot-Renaux Letizia Marchegiani T. Moeslund Rikke Gade SSeg EgoV 54 15 0 15 Sep 2021
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments Youngsaeng Jin D. Han Hanseok Ko 19 13 0 12 Aug 2021
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios Kai A. Metzger Peter Mortimer Hans-Joachim Wuensche 53 22 0 24 Mar 2021
Masksembles for Uncertainty Estimation Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 40 82 0 15 Dec 2020
RELLIS-3D Dataset: Data, Benchmarks and Analysis Peng-Tao Jiang Philip R. Osteen Maggie B. Wigness Srikanth Saripalli 3DV 56 219 0 17 Nov 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 131 18,106 0 28 May 2019
Explicit-risk-aware Path Planning with Reward Maximization Xuesu Xiao J. Dufek Robin Murphy 22 11 0 07 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 97 1,010 0 21 Feb 2019
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments G. Varma A. Subramanian A. Namboodiri Manmohan Chandraker C. V. Jawahar 90 324 0 26 Nov 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 324 2,135 0 12 May 2018
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 3,000 0 07 Aug 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 348 4,704 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 788 5,806 0 05 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,606 0 06 Apr 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 83 1,064 0 09 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 769 9,302 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015