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Free-Space Detection with Self-Supervised and Online Trained Fully
  Convolutional Networks
v1v2 (latest)

Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks

8 April 2016
Willem P. Sanberg
Gijs Dubbelman
Peter H. N. de With
ArXiv (abs)PDFHTML

Papers citing "Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks"

9 / 9 papers shown
Title
StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection
StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection
Marcel Vosshans
Omar Ait-Aider
Y. Mezouar
Markus Enzweiler
122
1
0
11 Jul 2024
NVAutoNet: Fast and Accurate 360$^{\circ}$ 3D Visual Perception For Self
  Driving
NVAutoNet: Fast and Accurate 360∘^{\circ}∘ 3D Visual Perception For Self DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Trung T. Pham
Mehran Maghoumi
Wanli Jiang
Bala Siva Sashank Jujjavarapu
Mehdi Sajjadi
...
Bor-Jeng Chen
Giang Truong
Chao Fang
Junghyun Kwon
Minwoo Park
242
9
0
23 Mar 2023
Training Semantic Segmentation on Heterogeneous Datasets
Training Semantic Segmentation on Heterogeneous Datasets
Panagiotis Meletis
Gijs Dubbelman
151
2
0
18 Jan 2023
Enhanced free space detection in multiple lanes based on single CNN with
  scene identification
Enhanced free space detection in multiple lanes based on single CNN with scene identification
Fabio Pizzati
F. García
134
35
0
02 May 2019
Static Free Space Detection with Laser Scanner using Occupancy Grid Maps
Static Free Space Detection with Laser Scanner using Occupancy Grid Maps
Hesham M. Eraqi
J. Honer
Sebastian Zuther
288
10
0
02 Jan 2018
Minimizing Supervision for Free-space Segmentation
Minimizing Supervision for Free-space Segmentation
Satoshi Tsutsui
Tommi Kerola
Shunta Saito
David J. Crandall
162
24
0
16 Nov 2017
Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile
  Robots
Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots
V. D. Silva
Jamie Roche
A. Kondoz
129
59
0
17 Oct 2017
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep
  Learning and Geometric Modeling
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos
S. Gehrig
Peter Pinggera
Uwe Franke
Carsten Rother
323
178
0
20 Dec 2016
Optical-Flow based Self-Supervised Learning of Obstacle Appearance
  applied to MAV Landing
Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing
H. W. Ho
Christophe De Wagter
B. Remes
Guido de Croon
SSL
133
35
0
04 Sep 2015
1