Project 1 (Mini Project on Vehicle Direction Detection

Aim: To develop vehicle direction detection simulink model as per the requirements.

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).

Objectives:

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.
6. 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	-	-

   Blocks used:

   Input and Output Blocks - To provide the signals
   Comparators : For logical Operations
   Switch Blocks - Decision Making
   GUI Setup - Indications and Display
   Mux Block - To combine Signals

   Logic Explanation:

   Requirement 1
   
   1. If SteeringWheel_YawDegreeInput >30 (Initial Value ) The vehicle turns right
   which make vehicle turn Right
   2. If SteeringWheel_YawDegreeInput =0 then vehicle drive straight
   3. if SteeringWheel_YawDegreeInput is not equal to 0 and other two conditions failed, then vehicle moves to left
   4. move the respectie constants to generate the output "Vehicle_Turn_Status"

   Requirement 2

   1. check the Vehicle turn status is equal to the constants "RightTurn_RoadSign,LeftTurn_RoadSign,Straight_RoadSign"
   and if the "CameraInput_RoadSign" is there set the respective "Vehicle_Direction_Indicator" as output.

   
   Results:

   1. Vehicle_Direction_Indicator 1 is for Straight Turn
   2.Vehicle_Direction_Indicator 2 is for Left Turn
   3.Vehicle_Direction_Indicator 3 is for Right Turn
   4. The inputs are fed by signal builder
   5. The snapshots and matlab figures are attached.
   6. The Model Advisory report is also attached within.

   Conclusion:

   The vehicle direction detection is one of the important features of ADAS System.
   A simulink model is deeloped and tested as per the given requirements.