Object recognition system using sonar

被引：0
作者：
Ecemis, MI [1 ]
Gaudiano, P [1 ]
机构：
[1] Boston Univ, Dept Cognit & Neural Syst, Neurobot Lab, Boston, MA 02215 USA
来源：
SENSOR FUSION AND DECENTRALIZED CONTROL IN ROBOTIC SYSTEMS III | 2000年 / 4196卷
关键词：
object recognition; sonar; robots; ARTMAP;
D O I：
10.1117/12.403717
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
Sonar is used extensively in mobile robotics for obstacle detection, ranging and avoidance. However, these range-finding applications do not exploit the rich information present in sonar echoes. In addition, mobile robots need robust object recognition systems. The ability to "see" with sound has long been an intriguing concept. Certain animals, such as bats and dolphins, are able to recognize the shape and nature of objects and to navigate using ultrasound. This work aims to set up and develop hardware and software components of an object recognition system using ultrasonic sensors of the type commonly found on mobile robots. Results demonstrate that sonar can be used as a low-cost, low-computation sensor for real time object recognition tasks on mobile robots. This system differs from all previous approaches in its simplicity, robustness, speed and low cost.
引用
收藏
页码：180 / 188
页数：9
相关论文
共 50 条
[31]   An IR/LADAR automatic object recognition system [J].
Zhou, YT ;
Sapounas, D .
AUTOMATIC TARGET RECOGNITION VII, 1997, 3069 :119-128
[32]   Recovery from segmentation failures using photometric invariance in an interactive object recognition system [J].
Hossain, Md. Altab ;
Kurnia, Rahmadi ;
Kuno, Yoshinori ;
Nakamura, Akio .
TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5, 2006, :671-+
[33]   Object Recognition System for the Visually Impaired: A Deep Learning Approach using Arabic Annotation [J].
Alzahrani, Nada ;
Al-Baity, Heyam H. .
ELECTRONICS, 2023, 12 (03)
[34]   Object recognition using 3D tag-based RFID system [J].
Roh, Se-gon ;
Lee, Young Hoon ;
Choi, Hyouk Ryeol .
2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, :5725-+
[35]   Genetic object recognition using combinations of views [J].
Bebis, G ;
Louis, S ;
Varol, Y ;
Yfantis, A .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :132-146
[36]   Unstructured object recognition using morphological learning [J].
Kar, S ;
Chandran, S .
DEFENCE SCIENCE JOURNAL, 2002, 52 (03) :261-275
[37]   Exploration and object recognition using cooperative robots [J].
O'Beirne, D ;
Schukat, M .
CISST '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS, AND TECHNOLOGY, 2004, :592-598
[38]   Object recognition using coloured receptive fields [J].
Hall, D ;
de Verdière, VC ;
Crowley, JL .
COMPUTER VISION - ECCV 2000, PT I, PROCEEDINGS, 2000, 1842 :164-177
[39]   Keybook: Unbias object recognition using keywords [J].
Hoo, Wai Lam ;
Lim, Chern Hong ;
Chan, Chee Seng .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (08) :3991-3999
[40]   Object recognition using saliency guided searching [J].
Mesquita, R. G. ;
Mello, C. A. B. .
INTEGRATED COMPUTER-AIDED ENGINEERING, 2016, 23 (04) :385-400
12345