摘要
该文研究了在移动机器人中基于神经网络的多种传感器信息融合技术。通过由CCD摄像机获得的彩色图像与超声波传感器组获得的距离作为辅助视觉系统实现整个视觉系统功能。移动机器人的障碍物检测和识别的可靠性与精度比在任何单一传感器所获得的信息都有很大的提高。
This paper presents the study of multi-sensor fusion technology based on neural network in mobile robot. Through image obtained by CCD and distance by the group of ultrasonic sensors as assistant vision system, the whole vision system function is realized. The reliability and precision in detection and recognition of obstacle based on multi-sensor information fusion are better than that based on any single sensor.
出处
《计算机仿真》
CSCD
2005年第3期168-170,共3页
Computer Simulation
