tailieunhanh - A vehicle detection algorithm for the application of road safety

The reliability and the accuracy of the vehicle detection algorithm for the application of road safety can be further boosted by applying method of image processing onto the data obtained through the industrial camera. | Journal of Automation and Control Engineering Vol. 4, No. 5, October 2016 A Vehicle Detection Algorithm for the Application of Road Safety Chee Yew Tung, Sim Kwok Swee, and Em Poh Ping Faculty of Engineering & Technology, Multimedia University, Malacca, Malaysia Email: cheeyewtung@, {kssim, ppem}@ reliably and extract effective information [4]. Appearance-based approach and feature-based approach are two branches in detecting vehicle on the road [4]. The most commonly used method for the purpose of vehicle detection is optical flow, background subtraction and lastly frame subtraction [5]. The method of background subtraction is the most famous and used technique at present [5]. Not only that, tailnight pair can be used for detecting vehicle in the night [6]. Texture descriptor [7], Haar filters [8], and some other method can also be used in detecting vehicle on the road. In this paper, a vehicle detection algorithm that can be applied onto the vehicle on road during broad daylight is presented. The aim of the research is to create a vehicle detection algorithm that can improve the safety of the driver and passenger and to minimize the number of accidents happening on the road. This paper is organized as follows: Methodology used in this paper in order to obtain the distance estimation algorithm is presented in Section II. The results obtained from the distance estimation algorithm and some discussion as to address the results obtained in this paper are presented in Section III. Section IV presents the conclusion and some future work of this paper. Abstract—Preventing road accidents from happening can be done by using the protective features available in vehicle such as seat belt and air bag. However, an act of prevention does nothing in reducing the rate of death on the road. An industrial camera is used to capture the image of the target vehicle in front of the vehicle installed with the camera in this paper. The method introduced inside the

• Cơ khí - Chế tạo máy
• Journal of Automation and Control Engineering
• Vehicle detection algorithm
• The application of road safety
• The software MATLAB
• The industrial camera
• Increasing the productivity of automation tool by developing socket
• Automation tool by developing socket
• Auto report generated
• The automation tool
• Abnormality management in industrial automation systems
• Industrial automation systems
• Future industrial automation systems
• Abnormality management approach
• Sliding mode based relative pose synchronous control
• Space autonomous rendezvous
• Relative pose synchronous control
• The control system design
• The sliding mode control law
• Application of pressure control type quasiservo valve
• Force control system
• The quasi servo valve
• The pneumatic cylinder
• Robust vehicle suspension system
• Converting active & passive control
• A vehicle to semi active control system analytically
• Semi Active Vehicle System
• Environmental control of a greenhouse system
• NI embedded systems technology
• The soil moisture
• The Engineering School of Bahrain Polytechnic
• Design of control system for 3D printer
• DSP and FPGA
• Control system for 3D printer
• Closed loop control
• Improving performances of a cement rotary kiln
• A model predictive control solution
• Cement rotary kiln
• Advanced process control
• Model predictive control
• Active learning in motor control and matlab simulation
• Active learning in motor control
• Servo motors of the simulation of neural networks
• Motion of a robot arm
• Redundancy and operation of power control system
• A deep space small probe
• Functions of redundancy
• Power Control Unit
• Closed loop speed control of miniature brushless DC motors
• Closed loop speed control
• Miniature brushless DC motors
• Delta Connected BLDC motors
• Adaptive wavelet backstepping control
• Class of mimo underactuated systems
• Multi input multi output
• Proposed control scheme
• Adaptive backstepping controller
• Hybrid position force control for a stewart platform
• Hybrid position force control
• The work surface
• The stewart platform
• Robust control of double inverted pendulum system
• Double inverted pendulum system
• Reference trajectory control
• The dynamic modeling
• Speech recognition in human computer interactive control
• Computer interactive control
• HTK and Sphinx
• Vietnamese speech recognition
• Human computer interaction
• Command shaped robust control of a flexible spacecraft
• Command shaped robust control
• Strong cross couplings
• Loop shaping design
• Optimal control of vehicle active suspension system
• Vehicle active suspension system
• The active suspension system
• LQR control technique
• Mimo fuzzy control for autonomous mobile robot
• Mimo fuzzy control
• Autonomous mobile robot
• Implementation of multi input multi output
• Reach defined target
• Asynthesis method of robust cascade control system
• Robust cascade control system
• Imposes robust conditions
• Soft oscillation index
• Efficient adaptive fuzzy control scheme for industrial manipulators
• Degree of freedom
• Fuzzy control scheme
• IMO nonlinear second order systems
• Multilevel inverter topology and control techniques
• Reduce electromagnetic interference
• Control strategies employed
• Linear quadratic optimal control problem of stochastic switching systems
• Linear quadratic optimal control problem
• Stochastic switching systems
• Non invariant linear systems
• Investigation of hybrid adaptive control schemes
• Needle free jet injection system
• Hybrid adaptive control schemes
• Needle free jet injection
• Modelling and simulations
• Development of a new algorithm
• Control excitation of particular mode of a building
• Particular mode of a building
• Sliding mode control
• Control of electric motor machine tools
• Self organizing fuzzy logic controller
• Modify the control rule
• The self organizing fuzzy logic controller