Dissertation > Excellent graduate degree dissertation topics show

Microwave video vehicle detection and classification technology fusion research

Author: DengChen
Tutor: SuYang
School: Wuhan University of Technology
Course: Communication and Information System
Keywords: Vehicle Detection Vehicle classification Microwave radar sensor Data Fusion Bayesian networks
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 133
Quote: 4
Read: Download Dissertation

Abstract


With the rapid economic development, transport and infrastructure needs of the contradiction between the increasingly prominent, so intelligent transportation systems came into being, which is a kind of advanced information technology, data communications transmission technology, electronic control technology, computer processing technology focus on the application of new transportation system, it makes transportation infrastructure to maximize performance. In our intelligent transportation system has been a great deal of attention and development. Vehicle detection and classification of intelligent transportation system is a very important aspect, it can provide a wealth of traffic flow information, such as traffic density, vehicle speed, vehicle characteristics, vehicle type and road events such as traffic flow parameters for the traffic signal control, road monitoring, road planning information. However, the existing vehicle detection and classification techniques confined to a single sensor operating mode, regardless of the classification results from the detection or classification from the detection efficiency point of view, are subject to a lot of constraints, such as the traditional loop detectors, laser detection, infrared detection, video detection and radar detector do have their inherent disadvantages, and some by the installation conditions, and some by the external environment and the weather, some of the information provided is too simple, are unable to meet the development needs of intelligent transportation systems. This paper presents the outstanding problems of microwave sensor fusion is accomplished video vehicle detection and classification. In the construction of the hardware platform to complete microwave vehicle detection and video vehicle detection and classification of vehicle integration work through the microwave detection module to get the vehicle height profile, video detection module to get the vehicle flat profile, and then use the extracted mixture Gaussian distribution vehicle characteristics modeling, the last in the framework of the Bayesian network to classify vehicles. Mixed Gaussian distribution can better fit vehicle characteristics, sensor fusion based on Bayesian network vehicle classification method that can be of different types of sensor characteristics make scientific judgments, the possibility to quantify the results of the evaluation, and the entire system is highly configurable and robustness. Through experiments showed that microwave video vehicle detection and classification sensor fusion system has a very stable vehicle detection performance of traditional classification methods have greatly improved vehicle and breakthrough, the accuracy of classification from a single microwave sensor fusion for 79% to 87 sensors %, in particular small and medium sized vehicles and large vehicles between the major classification error rate decreased from 9% to 2%. Finally, a microwave video vehicle detection and classification sensor fusion system applications realized, after the actual test illustrates the system is stable and reliable system design to achieve the intended purpose. Microwave video sensor fusion vehicle detection and classification systems in intelligent transportation systems and vehicle monitoring multi-sensor fusion has a broad application prospects.

Related Dissertations

  1. The Research of Navigation Multi-Sensor Data Fusion Technology Based on Micro Unmanned Platform,V249.32
  2. Research on Multi-Sensor Embattling and Continious Tracking Technique Applying for Anti-Stealth and Anti-Interference,TN953
  3. Yellow phosphorus storage tank area of Safety Evaluation,TQ126.317
  4. Fire Fighting System Research for the Offshore Platform,U698.4
  5. Vehicle detection based on machine vision and vehicle distance measuring method,TP274
  6. The Designing of HD Vehicle Detection System Based on Fpga,TP391.41
  7. The Research on Data Fusion Algorithm and Model for Wireless Sensor Networks,TN929.5
  8. Research and Realization of Vehicle Detection and Tacking Algorithm Based on Video,TP391.41
  9. The Study of the Data Fusion Technology in Multi-sensor Network,TN929.5;TP202
  10. Study on Wireless Sensor Networks with Communication Constraints,TN929.5
  11. The Key Technology of Wideband Compressed Spectrum Sensing in Cognitive Radio Network,TN925
  12. Research on Multi-modalbiometric Fusion Personalidentification Technology Based on Fingerprint and Name Speech,TP391.41
  13. VHF lightning detection stations Digital Processing System Design and Implementation,TN911.23
  14. Software based on Bayesian network model and implementation of risk management,TP311.52
  15. Overall integration of vehicles and components feature detection method,TP391.41
  16. Based on Bayesian Networks motor fault diagnosis method,TM307.1
  17. Based on wireless sensor network routing protocol LEACH Data Fusion Algorithm,TP212.9;TN929.5
  18. Based on Information Fusion roads and obstacle detection method,TP242
  19. MIDI-based instrument control systems and automatic identification method notes,TN912.34
  20. Wireless sensor network data fusion algorithm,TN929.5
  21. Research of a User Preference-based Trusted Model of Service Composition,TP393.09

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile