Project 1 (Mini Project on Vehicle Direction Detection

explanation,

General Overview:

Identifying the direction of the vehicle is one of the important & diverse features in Autonomous driving & Advanced Driver Assistance Features. This particular sub-feature of identifying the direction of vehicle is basically identifying the direction the vehicle is taking based on the camera input.

Camera reads the road signs & stores into its memory with unique values for left turn, right turn & straight drive. Depending on the direction it is taking, final indication is given to the driver – as an indication if he is driving in the recommended direction or not.

Vehicle Direction Determination can also be coupled along - side features like GPS systems to identify whether the vehicle is reaching its destination in an optimized manner. This sub feature can also be used along with Lane Detection, Highway Warning, Ramp Entry / Exit in Wrong Way Detection etc.

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).

Here we using mux block so we keep the dimension of Vehicle_Direction_Indicator is 3,but in given data dimension is 1.

MIL test,

In the hardness testing first we test model in loop test ,select the input is signal bulider feed the data sheet value into the signal builder, testing type is normal for the MIL test,after run the simulink module we compare the result of actual and expeted result by using scope.

SIL test,

In the hardness testing first we test Software in loop test ,select the input is signal bulider feed the data shee value into the signal builder, testing type is software loop test for the SIL test,after run the simulink module we compare the result of actual and expeted result by using scope.

Before run the SIL test ,confrim the block parameter is atomic unit.

After run the model advisor, its find the warning message,then one by one warning should be reduce by checking the module,

By run the SIL test its generate the c code for the vehical direction module, here also using another method for generating the c code with out run the SIL test,they are after create a module goto APPS and click EMBEDED C CODE option and then Click BUILD,option its automaticaly generated the c code at the same working directory.

RESULIS,

We test the vehical direction module by the MIL and SIL hardness testing,both are showing the same results,there is no devation in the final scope because the valide signal build into the signal bolck,its shows zero error.

Finally we tagging the requirements by using the prepared word file for the vehical direction module.