3D object recognition system using laser range finder

Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments ◽

10.1109/icar.1991.240384 ◽

1991 ◽

Author(s):

K. Okamoto ◽

W. Langer ◽

P. Mengel

Keyword(s):

Object Recognition ◽

Recognition System ◽

3D Object Recognition ◽

Laser Range Finder ◽

Range Finder ◽

Laser Range ◽

Download Full-text

Model based 3D object recognition using an accurate laser range finder

Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics ◽

10.1109/iecon.1993.339329 ◽

2002 ◽

Author(s):

P. Lopes ◽

E. Oliveira

Keyword(s):

Object Recognition ◽

3D Object Recognition ◽

Laser Range Finder ◽

Range Finder ◽

Laser Range ◽

3D Object ◽

Download Full-text

3D object recognition using a mobile laser range finder

10.1109/iros.1990.262482 ◽

2002 ◽

Author(s):

R.C. Luo ◽

R.S. Scherp

Keyword(s):

Object Recognition ◽

3D Object Recognition ◽

Laser Range Finder ◽

Range Finder ◽

Laser Range ◽

Download Full-text

Front object recognition system for vehicles based on sensor fusion using stereo vision and laser range finder

2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) ◽

10.1109/icce-china.2017.7991095 ◽

2017 ◽

Author(s):

Jau-Woei Perng ◽

Pei-Yu Liu ◽

Kai-Quan Zhong ◽

Ya-Wen Hsu

Keyword(s):

Object Recognition ◽

Sensor Fusion ◽

Stereo Vision ◽

Recognition System ◽

Laser Range Finder ◽

Range Finder ◽

Download Full-text

Object recognition using laser range finder and machine learning techniques

Robotics and Computer-Integrated Manufacturing ◽

10.1016/j.rcim.2012.06.002 ◽

2013 ◽

Vol 29 (1) ◽

pp. 12-22 ◽

Author(s):

Andry Maykol Pinto ◽

Luís F. Rocha ◽

A. Paulo Moreira

Keyword(s):

Machine Learning ◽

Object Recognition ◽

Machine Learning Techniques ◽

Laser Range Finder ◽

Range Finder ◽

Laser Range ◽

Learning Techniques

Download Full-text

The effectiveness of ellipsoidal shape representation technique for 3D object recognition system

2011 7th International Conference on Information Technology in Asia ◽

10.1109/cita.2011.5999525 ◽

2011 ◽

Author(s):

Asma Khatun ◽

Wang Yin Chai ◽

Dnf Awang Iskandar ◽

Md. Rabiul Islam

Keyword(s):

Object Recognition ◽

Shape Representation ◽

Recognition System ◽

3D Object Recognition ◽

3D Object ◽

Ellipsoidal Shape ◽

Representation Technique

Download Full-text

3D-MBA: a novel multiresolution 3D object recognition system

10.1117/12.290297 ◽

1997 ◽

Author(s):

Emerico Natonek ◽

R. Noll ◽

A. Vicario

Keyword(s):

Object Recognition ◽

Recognition System ◽

3D Object Recognition ◽

Download Full-text

3D object recognition system using multiple views and cascaded multilayered perceptron network

IEEE Conference on Cybernetics and Intelligent Systems, 2004. ◽

10.1109/iccis.2004.1460727 ◽

2005 ◽

Author(s):

M.K. Osman ◽

M.Y. Mashor ◽

M.R. Arshad

Keyword(s):

Object Recognition ◽

Recognition System ◽

3D Object Recognition ◽

Multiple Views ◽

3D Object ◽

Multilayered Perceptron

Download Full-text

Design of the 3D Object Recognition System with Hierarchical Feature Learning

KIPS Transactions on Software and Data Engineering ◽

10.3745/ktsde.2016.5.1.13 ◽

2016 ◽

Vol 5 (1) ◽

pp. 13-20

Author(s):

Joohee Kim ◽

Dongha Kim ◽

Incheol Kim

Keyword(s):

Object Recognition ◽

Feature Learning ◽

Recognition System ◽

3D Object Recognition ◽

Download Full-text

ERRORS-2: a 3D object recognition system using aspect graphs

[1988 Proceedings] 9th International Conference on Pattern Recognition ◽

10.1109/icpr.1988.28159 ◽

2003 ◽

Author(s):

K. Bowyer ◽

J. Stewman ◽

L. Stark ◽

D. Eggert

Keyword(s):

Object Recognition ◽

Recognition System ◽

3D Object Recognition ◽

Download Full-text

A 3d Object Recognition System with Decision Reasoning under Uncertainty

Informatik aktuell - Mustererkennung 1997 ◽

10.1007/978-3-642-60893-3_18 ◽

1997 ◽

pp. 183-190 ◽

Author(s):

B. Krebs ◽

B. Korn ◽

M. Burkhardt

Keyword(s):

Object Recognition ◽

Recognition System ◽

3D Object Recognition ◽

Reasoning Under Uncertainty ◽

Download Full-text