Project 1 (Mini Project on Vehicle Direction Detection

MAIN MODEL:

1)To Development of MATLAB Simulink model as per requirement-

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).
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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).
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• MODEL EXPLORER:
  Creating SLDD File as per given in requirement-

• Configuration Setting for MBD compliance:-
  
  

• Now, Tagging the requirements are done Both the tagging is done like the same:
  
  

• Explanation:

1. The streeing wheel is been taken as the input along with the camera.
2. The main ouput that we want is the direction of which side we want to drive the vehicle.
3. There are of two process that is been takes place, one is the angle at which the steering changes and the another is the indication of the direction that is been changing the vehicle.
4. In the angle determination there are of two switches the second one will check the angle, if its not equal to 0 then the left side or else its straight, that output value will be compared in another switch where, if the value is greater than 0 then its right side or else it will be the angle of the secondary switch.
5. From there the angle(Vehicle turn) can be found as the output after that value will be taken as the input in the direction detection along with the camera.
6. The right, left and straight turns are been compared with the vehicle turn signal and then each value will be compared in the relational operator AND with the camera input, from there the angle at which the vehicle turn will be taken as the output as the Vehicle direction indicator

Steps followed for generating code:

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Results:
1. The signs are in the way that Right, Left and Straight respectively.
2. As the output is boolean, If we get the output as (0,0,1), Then the vehicle is moving in the straight drive.
3. If the output as (1,0,0), Then the vehicle is taking in the Right turn.
4. If the output is (1,0,1), Then the vehicle is taking the Left turn.
Conclusion:
Autonomous vehicles consists of various Advance Driver-Assistance System (ADAS) features. Vehicle Driection Detection is one the features of
the vehicles. Hence, created an Simulink model of Vehicle Direction Detection as per the Requirement data