透過您的圖書館登入
IP:3.19.234.150
  • 期刊

Research on Road Target Detection Method based on Feature Fusion

摘要


The increasingly complex road traffic environment has brought severe challenges to the safety of road traffic. In this paper, taking the accurate detection of road targets as the starting point, and combined with the current advanced convolution neural network technology, it analyzes and discusses the feature learning method based on feature fusion, and on this basis, it further proposes the target detection method based on feature fusion, and then it verifies the effectiveness of the proposed method through the simulation, thus, it provides a certain reference for road target detection in complex road traffic environment.

參考文獻


Prakash I, Neves O, Cumbe E, et al. The Financial Burden of Road Traffic Injuries in Mozambique: A Hospital-Related Cost-of-Illness Study of Maputo Central Hospital, World Journal of Surgery, 2019, 43(12):2959-2966.
Garg K, Ramakrishnan N, Prakash A, et al. Rapid and Robust Background Modeling Technique for Low-Cost Road Traffic Surveillance Systems, IEEE Transactions on Intelligent Transportation Systems, 2019, PP(99):1-12.
Nogal M, Honfi D. Assessment of road traffic resilience assuming stochastic user behavior, Reliability Engineering & System Safety, 2019, 185(5):72-83.
Zhu Q. Research on Road Traffic Situation Awareness System Based on Image Big Data, IEEE Intelligent Systems, 2020, 35(1):18-26.
LI H G, LU C Y, QI L. Road Target Detection Based on Otsu Multi-Threshold Segmentation, Mechanical Engineering and Control Systems, 2016: 265-269.

延伸閱讀