Project 1 (Mini Project on Vehicle Direction Detection

AIM

To Develop the MATLAB Simulink model Vehicle Direction Determination project.

DESCRIPTION

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).

Simulink Modelling

> Create a subsystem with two input and one output signals. Input signals are 1.SteeringWheel_YawDegreeInput, CameraInput_RoadSign and Output signal is 3. Vehicle_Direction_Indicator as shown below

> Now open the sub system and create two sub systems one for requirement-1 and another for Requirement-2. As shown below

> In the vehicle direction subsystem create the model as per the requirement-1 as shown below.

> In the another subsystem create the model as per the requirement-2 as below

> Now add the Simulink Data dictionary (SLDD). With the signals and constants.

> Here I have also done Coverage Analysis, Model Advisor Report and Code Generation. Links for them are given in the links space.

RESULTS

Develop the MATLAB Simulink model Vehicle Direction Determination project.

LINKS

Link for Project folder

https://drive.google.com/drive/folders/1e_0rJs5diRuEIBVhUsswPpQwKto1yMnn?usp=sharing

Link for Coverage analysis Report

https://drive.google.com/drive/folders/1e_0rJs5diRuEIBVhUsswPpQwKto1yMnn?usp=sharing

Link for Model Advisor Report

https://drive.google.com/file/d/1ComQF28c8ksKCQsjKSJ870qaC6d-WQpn/view?usp=sharing