Project 1 (Mini Project on Vehicle Direction Detection

Mini project on Vehicle direction detection

Aim:-

To create a Vehicle direction determination model for given requirements.

Objective:-

• Development of MATLAB Simulink model as per requirements.
• Tad the requirements to the Simulink model.
• MBD compliant changes, Data Dictionary creation, and code generation is added advantages and that is not the scope of this project.
• If choosing code generation, Storage class for input signals: ImportedExtern; Storage class for output: Export to file; Storage class for local signals: localizable; Storage class for calibration signal: Const.
• Choose sample time for all signals as 0.01s

Theory:-

Identifying the direction of the vehicle is one of the important and diverse features in Autonomous Driving Assistant Feature.

This particular sub-feature of identifying the direction of the vehicle is basically based on the camera input.

The camera reads the road sign and stores them in its memory with unique values for a left turn, right turn, and straight drive.

Depending on the direction it takes the final indication is given o the driver as an indication if he is driving in the recommended direction or not.

Vehicle Direction Determination can also be coupled alongside features like a GPS system 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.

MATLAB model:-

Inside subsystem:-

Requirement1 subsystem:-

• Steering wheel input(SteeringWheel_YawDegrreInput) is the input for the system.
• This is compared with 3 angular values, one each for a left turn, right turn, straight drive to say which specific direction the steering wheel turning towards.
• Use switch block to compare and developed this requirement
• Kept this requirement in a subsystem and the output of this requirement is the local signal.

Requirement2 subsystem:-

• 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).
• Using a logical operator block, only one among them is finally given as output signal (Signal Name: Vehicle_Direction_Indicator).

Result:

Output for both Right turn and Left turn:-

SLDD file

Model Advisor Report:-

Code generation:-

#include "adas_miniproject1.h"
#include "adas_miniproject1_private.h"
ExtU_adas_miniproject1_T adas_miniproject1_U;
ExtY_adas_miniproject1_T adas_miniproject1_Y;
static RT_MODEL_adas_miniproject1_T adas_miniproject1_M_;
RT_MODEL_adas_miniproject1_T *const adas_miniproject1_M = &adas_miniproject1_M_;
void adas_miniproject1_step(void)
{
  int16_T rtb_Vehicle_Turn_Status;
  if (adas_miniproject1_U.SteeringWheel_YawDegreeInput >= 0) {
    rtb_Vehicle_Turn_Status = 30;
  } else if (adas_miniproject1_U.SteeringWheel_YawDegreeInput != 0) {
    rtb_Vehicle_Turn_Status = -120;
  } else {
    rtb_Vehicle_Turn_Status = 0;
  }
  adas_miniproject1_Y.Vehicle_Direction_Indicator[0] = ((30 *
    rtb_Vehicle_Turn_Status != 0) || adas_miniproject1_U.CameraInput_RoadSign);
  adas_miniproject1_Y.Vehicle_Direction_Indicator[1] = ((-120 *
    rtb_Vehicle_Turn_Status != 0) || adas_miniproject1_U.CameraInput_RoadSign);
  adas_miniproject1_Y.Vehicle_Direction_Indicator[2] =
    adas_miniproject1_U.CameraInput_RoadSign;
}
void adas_miniproject1_initialize(void)
{
}
void adas_miniproject1_terminate(void)
{
}