Project 1 (Mini Project on Vehicle Direction Detection

Aim of the project:

Aim of this project is to construct a Simulink model which identifies the vehicle direction detection, which is one of the main features of Advanced Driver Assistance systems. This model works on the principle of identifying the direction the vehicle is taking based on the camera input.

Description:

Requirement - 1:

Steering wheel degree and camera input road sign are taken as main inputs for the simulink model. The subsystems are modelled according to the requirements. In requirement 1, steering wheel degree is compared with the angular limit of right turn, left turn and straight turn and gives the vehicle turn status as output.

Requirement-2:

For requirement-2 subsystem, vehicle turn status is compared against the road signs of right turn, left turn and straight direction. If any of these road signs are equal to the vehicle turn direction, they are again compared with camera input road sign and the result is the final output of the system, which is vehicle direction indication.

Simulink Data Dictionary:

All the data for the signals used inside this model is defined inside the Simulink data dictionary

Requirement tagging:

Requirements of the subsystems are tagged inside the model which describes the logic. This tagging enables the new user to understand the requirements of the model.

Setting Sample time for the system:

Sample time for this system is defined as 0.01s inside the configuration parameters.

Model Advisor report generation:

Model Advisor check was performed to identify modelling errors.

Code generation:

Model was simulated to check for errors and finally the model is build to generate code. Code was generated for the system which enables the user to perform Software in loop test for the model.

Result:

Vehicle Direction detection was modelled using Simulink. All the subsystems are modelled according to the requirements and the requirement description is tagged to enable the easy understanding for the new user. All the signal data was given inside Simulink Data dictionary and the storage class was given according to the given specification. Model advisor check was performed to identify any errors and report was generated. As every check returned no errors, code generation was done.