Designing a Smart Car Data Logging and Tracking System With Vision
The purpose of this thesis is to create a vision system to detect an obstacles range in front of a stereo camera using stereovision system utilizing OpenCV. the vision system also works as data recording to record the journeys trip. Depth and disparity image shows the difference of range using different color. By determining the pixel value, the range of the obstacle can be determined. an objects range can also be calculated using stereovision calculation by determining the pixel range difference between two cameras. the vision system also includes early warning system to warn the driver about the environment in front of the car by using buzzer and LED. This thesis is a subsystem of Smart Mobility with Connected Cooperative Cars system which consists of three subsystems where each subsystem is developed using 32-bit ARM processor with different platforms, Bare Metal, Android, and Linux which is additional objective to integrate them into one single system implemented within a car. Every subsystem is connected via wired and wireless communication.
|B01582||(Rack Thesis)||Available but not for loan - Missing|
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