基于多传感器融合的图像识别与目标检测研究

Research on image recognition and object detection based on multi sensor fusion

随着科技的飞速发展,智能设备在导航、自动驾驶、安全监控等领域的应用日益广泛,但单个传感器往往难以应对复杂多变的环境条件,多传感器信息融合技术应运而生,成为提高目标检测准确性和鲁棒性的关键手段。为优化图像识别和目标检测技术,文章主要分析了多传感器融合技术在图像识别与目标检测中的优化应用方案,通过整合不同的传感器信息,提出一种改进的多传感器融合算法,以增进目标检测准确性和鲁棒性。研究结果表明,在图像识别与目标检测中融合多传感器可显著增进目标检测的效率与精度,尤其可高效应对动态环境和复杂环境。

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.