Fuzzy control-based system feed-back by OBD-II data acquisition for complementary injection of hydrogen into internal combustion engines

This study deals with the development of vision for vehicle and driver to prevent problems for both vehicle and driver while driving. Wireless communication in car is the booming field of Network communication. An Head-up-Display is developed for calculating the car strategies which help in maintenance and life time of the car to analyze the system with the help of CAN (Controller Area Network) used for communication inside the ECU (Electronic Control Unit) from ELM327 Bluetooth analyzer. And a pulse sensor is connected to the processor to analyze and send immediate signal to the emergency contacts in the time of abnormal conditions of the person while driving. By using Node-Red in the communication will lead the communication easier for the person using and implementing the HUD will lead the maintenance of the system good.

An HUD for connected car for maintenance and emergency intimation

This paper presents the Android smart phone application for periodic technical inspection stations. The main goal of employing this application in vehicle inspection procedure is to increase safety on road. The application contributes in the following way: it brings additional cheating prevention by making the technician authorize himself before starting inspection, it is mandatory to take photographs of VIN and odometer and the application sends the location altogether with the photographs (it will not take photos without localization services enabled), it reads vehicle identification number by on board diagnostics and obviously it can find more vehicle defects using on board diagnostics.

Android Application for Periodical Vehicle Inspection

This study aims to create a vision system for vehicles that would prevent frontal collisions. The system is more of an aid to the driver, giving notifications whenever there is a possibility of collision. With the use of a camera, this system is able to get series of images that would undergo processes of detection and distance calculations. And by utilizing OpenCV, detection of vehicles through Haar and distance measurement by perspective warping have been possible. Critical distances relative to the current speed of the system's vehicle is the point of comparison that would result to proper notification of Green LED, Red Led or Red LED + buzzer. The On-board Diagnostic 2 terminal of newer vehicles enables input of speed to the system. And overall, the processes happen in an embedded system (Blackfin ADSP 537) that allows stand- alone operation, thus creating a system that works while on the road.

Marc Carlo E. Lijauco

Papers

Distance monitoring vision system for automobiles using image processing