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
  • [21] A face/object recognition system using FPGA implementation of coarse region segmentation
    Nakano, T
    Morie, T
    Iwata, A
    SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 2003, : 1552 - 1557
  • [22] MirBot: A collaborative object recognition system for smartphones using convolutional neural networks
    Pertusa, Antonio
    Gallego, Antonio-Javier
    Bernabeu, Marisa
    NEUROCOMPUTING, 2018, 293 : 87 - 99
  • [23] Object recognition using discriminative parts
    Liu, Ying-Ho
    Lee, Anthony J. T.
    Chang, Fu
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2012, 116 (07) : 854 - 867
  • [24] Object recognition using metric shape
    Lee, Young-Lim
    Lind, Mats
    Bingham, Ned
    Bingham, Geoffrey P.
    VISION RESEARCH, 2012, 69 : 23 - 31
  • [25] Object recognition using spatiotemporal signatures
    Stone, JV
    VISION RESEARCH, 1998, 38 (07) : 947 - 951
  • [26] Object recognition using pattern analysis
    Iftikhar, Nauman
    Iqbal, Saba
    Khattak, Naveed Sarfraz
    6TH WSEAS INT CONF ON INSTRUMENTATION, MEASUREMENT, CIRCUITS & SYSTEMS/7TH WSEAS INT CONF ON ROBOTICS, CONTROL AND MANUFACTURING TECHNOLOGY, PROCEEDINGS, 2007, : 290 - +
  • [27] OBJECT RECOGNITION USING IMAGE DESCRIPTORS
    Mohan, V
    Shanmugapriya, P.
    Venkataramani, Y.
    ICCN: 2008 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING, 2008, : 337 - 340
  • [28] An IR/LADAR automatic object recognition system
    Zhou, YT
    Sapounas, D
    AUTOMATIC TARGET RECOGNITION VII, 1997, 3069 : 119 - 128
  • [29] An object recognition system based on the trilinearity theorem
    Calmbach, R
    HechtNielsen, R
    AUTOMATIC TARGET RECOGNITION VII, 1997, 3069 : 108 - 118
  • [30] A swarm-based system for object recognition
    Mirzayans, T
    Parimi, N
    Pilarski, P
    Backhouse, C
    Wyard-Scott, L
    Musilek, P
    NEURAL NETWORK WORLD, 2005, 15 (03) : 243 - 255