Dissertation > Excellent graduate degree dissertation topics show

Design and Implementation of Vehicle Pedestrian Detection System Based on FPGA

Author: JinMeiLing
Tutor: MaXueWen
School: Northeastern University
Course: Circuits and Systems
Keywords: FPGA pedestrian detection region of interest feature extraction classfier
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 58
Quote: 0
Read: Download Dissertation


Vehicle pedestrian detection system is a kind of solutions to drive assistant, the system can detect pedestrian in dangerous and send early warning to drivers automatically. In recent years, carmakers take many measures to avoiding pedestrian accidents by extending depth and width of field. But the sensor used is quite expensive and not applicable. It has practical significance to develop a robust、real-time and stability pedestrian detection system which can reduce and avoid pedestrian accidents effectively.With the emergence of the field programmable gate array device with large-scale, it provide a new approach for the realization of high-speed image processing and resolve the problem of unable detect pedestrian real-time. In this paper, we implement the vehicle pedestrian detection system based on FPGA in the Cyclone Ⅱ EP2C70DSP development board.Fistly analysising the hardware structure of the algorithm, implementing pedestrian detection algorithm on VS2005by C, doing testing and evaluating the effect of pedestrian detection processing. Secondly, completing system integration by adding pedestrian detection module in SOPC Builder software, completing the system hard integration、simulation、 compilation and download in Quartus Ⅱ software, completing system software design in Nios II software. Finally, analyzing the use of resources、the effect of pedestrian detection and processing speed.By testing, the system that we implemented in the Cyclone Ⅱ EP2C70DSP development board processes a size of320x240gray image takes about723ms at100Mhz clock frequency., achieve a faster processing speed to meet the current electronic devices embedded multimedia processing requirements. The system achieves the desired function, with better real-time and reliability, and small, convenient control with a wide range of applications.

Related Dissertations

  1. Research on Electromagnetic Acoustic Transducer Detection System Based on FPGA,TH878.2
  2. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  3. Study on Drive and Control System of Five-Phase PMSM Based on FPGA,TM341
  4. Development of LXI Arbitrary Waveform Generator,TM935
  5. Design of Digital Predistorter for RF Power Amplifier Based on FPGA,TN722.75
  6. Synchronization and Channel Estimation Algorithm in Bursted OFDM System and Its Implementation on FPGA,TN919.3
  7. Performance Analysis of Anti-Multipath Capability in DSSS System and Study on the Compensation Methods,TN914.42
  8. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  9. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  10. Research and Hardware Simulation of Multiuser Spread Spectrum Code Acquisition Based on FPGA,TN914.42
  11. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  12. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  13. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  14. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  15. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  16. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  17. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  18. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  19. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  20. Multi-currency Notes Technology Research and Implementation,TP391.41
  21. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41

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