Project 1 (Mini Project on Vehicle Direction Detection

Theory:

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 the vehicle is basically identifying the direction the vehicle is taking based on the camera input.

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

Simulink model for Vehicle Direction Detection:

 Requirement 1:

Steering wheel input as yaw rate is the input for this system.This is compared against 3 angular values, one each for a left turn, right turn & straight drive.Use switch blocks to compare & develop this requirement. Keep this requirement in a subsystem & the output of this requirement is a local signal.

 Requirement2:

Signal Vehicle_Turn_Status is compared against calibration values, 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.

Main subsystem:

Blocks used:

• Input Blocks: To provide the input signals
• Output Blocks: To send the output signals
• Constant Blocks: To define the calibration values
• Logical operator Blocks: OR blocks are used to compare and the road signs with camera input and to get the boolean output.
• Switch Blocks: To compare the input with the calibration values.
• Mux Block: To combile the signals
• Display Block: To display the results.

SLDD file:

The SLDD_file is created to store the calibration values and input and output signals. 

Result:

Straight drive:

Left turn:

Right turn:

Conclusion:

Successfully created the model from the given requirement data .