Research on image recognition and object detection based on multi sensor fusion
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.
multi sensor fusionimage recognitionobject detectionneural networksaccuracy
万方数据
维普
