Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework

29 March 2019

Papers citing "Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework"

6 / 6 papers shown

Title
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 107 26 0 16 Nov 2022
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data Raphael van Kempen Bastian Lampe Lennart Reiher Timo Woopen Till Beemelmanns L. Eckstein 44 1 0 15 Nov 2022
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping Raphael van Kempen Bastian Lampe Timo Woopen L. Eckstein 33 10 0 25 Feb 2021
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping Daniel Bauer L. Kuhnert L. Eckstein 23 5 0 02 Dec 2020
Deep Open Space Segmentation using Automotive Radar F. Nowruzi Dhanvin Kolhatkar Prince Kapoor Fahed Al Hassanat E. J. Heravi R. Laganière Julien Rebut Waqas Malik 51 26 0 18 Mar 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery Zepeng Huo Arash Pakbin Xiaohan Chen N. Hurley Ye Yuan Xiaoning Qian Zhangyang Wang Shuai Huang B. Mortazavi HAI 46 11 0 03 Mar 2020