Challenge

Project 1 (Mini Project on Vehicle Direction Detection

JJay More16 Jun 2022

AIM : To create the vehicle direction determination model according to the given instructions.

OBJECTIVES :

Development of MATLAB Simulink model as per requirement.
Tag the requirements to the simulink model; tagging requirement 1 & requirement 2 to their corresponding subsystems is fine.
MBD compliant changes, Data Dictionary creation & code generation is added advantage, and that is not scope of this project.
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.
Choose sample time for all signals as 0.01s.

CONCEPT :

Identifying the direction of the vehicle is one of the important feature in autonomous driving and advance 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 and store them into its memory with unique values for a left turn, right turn and straight Drive.

Depending on the direction it is taking the final indication is given to the driver as an indication if he's driving in the recommended direction or not.

Vehicle direction determination can also be coupled alongside features like GPS systems to identify whether the driver is reaching its destination in an optimise manner.

This some feature can also be used along with Lane detection, highway warning, Ramp entry or exit in wrong with detection etc.

Simulink Model :

Then clicking on vehicle _direction block

Subsystem 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).

Subsystem 2 - 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).

Model Explorer :

SLDD file :

Output :
Straight turn :

Right_turn

Left_turn:

Steps for Code Generation :

Right click on main subsystem -> Block parametrs(subsystem) -> Tick on treat as atomic size -> model configuration ->solver(fixed step) ->sample time(0.01)-> code generation -> art.tlc -> app(embedded code) ->buil(generate code)