Challenge

Project 1 (Mini Project on Vehicle Direction Detection

PPreetham U Naik5 Dec 2021

Vehicle Direction Determination

Aim:

Creating an project that detects the Vehicle direction depending on the sensed values of Camera and Steering Wheel input. Depending on the requirement list and Study the model for the response.

Description:

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:

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.

Steps:

Open New model file and Link a Data Dictionary to that File.
Add the signals as per the given Signal List.
As per Requirements create the respective model as mentioned in the Requirements.
Create the Whole system by clubbing all the 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).

Logic for the Requirement

By comparing the each limitation with actual Steering Input.
By using the Switches pass the value which only under limit range.
Steering Input is modified that if that crosses the limit then the output is the exactly the limit value.
After Creating Subsystem Link the requirement in the word file which Contains all the Requirement 1

Subsystem

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).

Steps:

Similarly to Requirement Compare the Vehicle Turn Status with Road signs data.
Adding a AND block whichs takes all the input of compared values of the those compared values along with Camera input. Thus when the Camera input becomes High then the only the Vehicle Direction Indicator will be activated.