Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping

22 May 2024

Papers citing "Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping"

5 / 5 papers shown

Title
SpINR: Neural Volumetric Reconstruction for FMCW Radars Harshvardhan Takawale Nirupam Roy 30 0 0 30 Mar 2025
Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach M. Ronecker Markus Schratter Lukas Kuschnig Daniel Watzenig 24 1 0 02 Feb 2024
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving A. Popov Patrik Gebhardt Ke Chen Ryan Oldja Heeseok Lee S. Murray Ruchita Bhargava Nikolai Smolyanskiy 41 25 0 29 Sep 2022
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application Dominik Nuss Stephan Reuter Markus Thom Ting Yuan Gunther Krehl M. Maile Axel Gern Klaus C. J. Dietmayer 61 148 0 09 May 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 429 15,595 0 02 Nov 2015