With the rapid development of technology,the application of intelligent devices in navigation,autonomous driving,safety monitoring and other fields is becoming increasingly widespread.However,a single sensor often finds it difficult to cope with complex and changing environmental conditions.Multi sensor information fusion technology has emerged as a key means to improve the accuracy and robustness of target detection.In order to optimize image recognition and target detection technology,this paper mainly analyzes the optimal application scheme of multi sensor fusion technology in image recognition and target detection.By integrating different sensor information,an improved multi-sensor fusion algorithm is proposed to improve the accuracy and robustness of target detection.The research results indicate that integrating multiple sensors in image recognition and object detection can significantly improve the efficiency and accuracy of object detection,especially in dealing with dynamic and complex environments efficiently.
关键词
多传感器融合/图像识别/目标检测/神经网络/准确性
Key words
multi sensor fusion/image recognition/object detection/neural networks/accuracy
维普
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