Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping

2 December 2020

Papers citing "Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping"

4 / 4 papers shown

Title
Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping M. Ronecker Xavier Diaz Michael Karner Daniel Watzenig 71 2 0 22 May 2024
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps Zihang Wei Rujiao Yan M. Schreier 45 2 0 21 May 2023
Deformable Radar Polygon: A Lightweight and Predictable Occupancy Representation for Short-range Collision Avoidance Xiangyu Gao Sihao Ding Harshavardhan Reddy Dasari 89 7 0 02 Mar 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