Project 1 (Mini Project on Vehicle Direction Detection

AIM: To create a Simulink model of Vehicle Direction Detection as per the Requirement data.

Objective of Mini Project:

1. Development of MATLAB Simulink model as per requirement.
2. Tag the requirements to the simulink model; tagging requirement 1 & requirement 2 to their corresponding subsystems is fine.
3. MBD compliant changes, Data Dictionary creation & code generation is added advantage, and that is not scope of this project.
4. If choosing code generation, Storage class for Input signals: ImportedExtern; Storage class for Output signal: Export to File; Storage class for local signals: localizable; Storage class for calibration signals: Const.
5. Choose sample time for all signals as 0.01s

Requirement - 1:

• Steering wheel input as yaw rate (Signal name: SteeringWheel_YawDegreeInput) is the input for this system.
• This is compared against 3 angular values, one each for left turn, right turn & straight drive (Calibration Values: Right_Turn_AngularLimit, Left_Turn_AngularLimit, Straight_Drive_Steering_Angle) to say which specific direction the steering wheel is turning towards.
• Use switch blocks to compare & develop this requirement. Keep this requirement in a subsystem & output of this requirement is a local signal (Signal Name: Vehicle_Turn_Status).

Requirement – 2:

• Keep this requirement as a separate subsystem. Inputs to this requirement are local signal from requirement 1 (Signal Name: Vehicle_Turn_Status) & an input signal from camera (Signal Name: CameraInput_RoadSign), which confirms the occurrence of a road sign.
• Signal Vehicle_Turn_Status is compared against calibration values (Calibration Values: RightTurn_RoadSign, LeftTurn_RoadSign, Straight_RoadSign), if each of them is found equal, then each of the three corresponding output is compared against the camera input signal,
• Using a logical operator block, only one among them is finally given as output signal (Signal Name: Vehicle_Direction_Indicator).

Signals & Calibration Data List:

Signal / Calibration Name	Signal Type	Data Type	Dimension	Min	Max	Initial Value	Units
SteeringWheel_YawDegreeInput	Input	Int16	1	-180	180	-	Deg
CameraInput_RoadSign	Input	Boolean	1	0	1	-	-
Vehicle_Turn_Status	Local	Int16	1	-180	180	-	Deg
Right_Turn_AngularLimit	Calibration	Int16	[1 1]	-180	180	30	Deg
Left_Turn_AngularLimit	Calibration	Int16	[1 1]	-180	180	-120	Deg
Straight_Drive_Steering_Angle	Calibration	Int16	[1 1]	-180	180	0	Deg
RightTurn_RoadSign	Calibration	Int16	[1 1]	-180	180	30
LeftTurn_RoadSign	Calibration	Int16	[1 1]	-180	180	-120
Straight_RoadSign	Calibration	Int16	[1 1]	-180	180	0
Vehicle_Direction_Indicator	Output	Boolean	1	0	1	-	-

Model:

Vehicle Direction Detection Subsystem:

Requirment 1: Here we using the subsystem 1, in these we have Three turns which direction is need based on the data requirments we have to compare these signals .

Requirments 2: Here we have 2 inpts one is Vehicle_Turn_Status, Camerainput_RoadSign, with this we have to compare with 3 roadsign values acoording to data we have to turn the required output, the signal name is Vehicle_Direction_Indicator.

Here we compare the three signals with the SteeringWheel_YawDegreeInput .

when we compare ,it checks equal to 30 then it will say to Right_Turn.

when we compare ,it checks less than the -120 then it will say to Left_Turn .

when we compare ,it checks less than the 0 then it will say to Straight_Drive .

Signals & Calibration Data List:

To export a data dictionary:

• Here we compare the three signals with the SteeringWheel_YawDegreeInput .
• when we compare ,it checks equal to 30 then it will say to Right_Turn.
• when we compare ,it checks less than the -120 then it will say to Left_Turn .
• when we compare ,it checks less than the 0 then it will say to Straight_Drive .