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An automated system for the analysis of the status of road safety using neural networks

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : An automated system for the analysis of the status of road safety using neural networks
นักวิจัย : Verma, Brijesh. , Stockwell, David.
คำค้น : Traffic safety. , Applied research. , 890202 Application Tools and System Utilities. , 080108 Neural, Evolutionary and Fuzzy Computation. , 080109 Pattern Recognition and Data Mining. , Neural networks (Computer science) , Pattern recognition systems , Neural networks -- Segmentation -- Road safety
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2554
อ้างอิง : http://hdl.cqu.edu.au/10018/917866
ที่มา : Verma, B & Stockwell, D 2011, 'An automated system for the analysis of the status of road safety using neural networks' in Bao-Liang Lu, Liqing Zhang & James Kwok (eds.) Neural Information Processing: Lecture Notes in Computer Science, vol.7064, Springer, Berlin, http://dx.doi.org/10.1007/978-3-642-24965-5_60
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Neural information processing : 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, proceedings. Part 3. / Bao-Liang Lu, Liqing Zhang, James Kwok (eds.). Heidelberg : Springer, 2011. p. 530-537 8 pages Refereed 9783642249648 (pt. 3) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper presents a neural network based novel automated system that can analyze vehicle mounted video data for improving road safety. There are video data collection systems currently available although no tools exist which could be used to automatically analyze vehicle mounted video data and estimate future crash sites. The main aim of the research presented in this paper is to develop a technique to segment roadside data obtained from vehicle mounted video into regions of interest, classify roadside objects and estimate the risk factor based on roadside conditions and objects for various crashes. A clustering technique for segmentation of roadside frames into regions of interest and a neural network to classify the regions of interest into objects are investigated. The preliminary segmentation and classification results on a small dataset taken from Transport and Main Roads’ vehicle mounted video data collection are promising.

บรรณานุกรม :
Verma, Brijesh. , Stockwell, David. . (2554). An automated system for the analysis of the status of road safety using neural networks.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Verma, Brijesh. , Stockwell, David. . 2554. "An automated system for the analysis of the status of road safety using neural networks".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Verma, Brijesh. , Stockwell, David. . "An automated system for the analysis of the status of road safety using neural networks."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2554. Print.
Verma, Brijesh. , Stockwell, David. . An automated system for the analysis of the status of road safety using neural networks. กรุงเทพมหานคร : Central Queensland University, Australia; 2554.