首页|基于人工智能算法的机器人目标检测技术研究

基于人工智能算法的机器人目标检测技术研究

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为进一步提升基于人工智能算法的机器人目标检测技术的准确性和实时性,采用Faster R-CNN模型进行深入分析和测试,构建和优化数据集,优化模型训练过程,精准计算性能评估指标.研究结果显示,经过调整和优化后的模型在标准测试集上具有良好的精确度和召回率,尤其是在对"人"类目标的识别上,性能指标尤为突出,验证了深度学习算法在机器人目标检测中的适用性,为后续的研究工作和实际应用提供了参考.
Research on Robot Object Detection Technology Based on Artificial Intelligence Algorithm
In order to further improve the accuracy and real-time performance of robot target detection technology based on artificial intelligence algorithm,Faster R-CNN model is adopted for in-depth analysis and testing,data sets are constructed and optimized,model training process is optimized,and performance evaluation indicators are accurately calculated.The research results show that the adjusted and optimized model has a good accuracy and recall rate on the standard test set,especially in the recognition of"human"targets,and the performance index is particularly outstanding,which verifies the applicability of deep learning algorithms in robot target detection,and provides a reference for subsequent research work and practical application.

artificial intelligence algorithmsrobotstarget detection technologydeep learning

范琳、王亚超

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西安工商学院 信息与工程学院,陕西 西安 710000

中国石油天然气股份有限公司长庆油田分公司第十一采油厂,宁夏 固原 756000

人工智能算法 机器人 目标检测技术 深度学习

2024

电视技术
电视电声研究所 中国电子科技集团公司第三研究所

电视技术

影响因子:0.496
ISSN:1002-8692
年,卷(期):2024.48(6)
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