Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps

10 September 2017

Papers citing "Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps"

6 / 6 papers shown

Title
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving Kuan-Hui Lee Matthew Kliemann Adrien Gaidon Jie Li Chao Fang Sudeep Pillai Wolfram Burgard 3DPC 27 20 0 03 Aug 2020
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks M. Schreiber Vasileios Belagiannis Claudius Glaeser Klaus C. J. Dietmayer 21 20 0 25 Sep 2019
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs Nico Engel S. Hörmann Philipp Henzler Klaus C. J. Dietmayer 35 21 0 23 May 2018
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences Daniel Stumper Fabian Gies S. Hörmann Klaus C. J. Dietmayer 29 9 0 11 Apr 2018
Static Free Space Detection with Laser Scanner using Occupancy Grid Maps Hesham M. Eraqi J. Honer Sebastian Zuther 26 9 0 02 Jan 2018
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 64 148 0 09 May 2016