Project 1 (Mini Project on Vehicle Direction Detection
Mini Project - Vehicle Direction Determination :-
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:
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. MB 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).
Signals & Calibration Data List:
|
Signal / Calibration Name |
Signal Type |
Data Type |
Dimension |
Min |
Max |
Initial Value |
Units |
|
SteeringWheel_YawDegreeInput |
Input |
Int16 |
1 |
-180 |
180 |
- |
Deg |
|
CameraInput_RoadSign |
Input |
Boolean |
1 |
0 |
1 |
- |
- |
|
Vehicle_Turn_Status |
Local |
Int16 |
1 |
-180 |
180 |
- |
Deg |
|
Right_Turn_AngularLimit |
Calibration |
Int16 |
[1 1] |
-180 |
180 |
30 |
Deg |
|
Left_Turn_AngularLimit |
Calibration |
Int16 |
[1 1] |
-180 |
180 |
-120 |
Deg |
|
Straight_Drive_Steering_Angle |
Calibration |
Int16 |
[1 1] |
-180 |
180 |
0 |
Deg |
|
RightTurn_RoadSign |
Calibration |
Int16 |
[1 1] |
-180 |
180 |
30 |
|
|
LeftTurn_RoadSign |
Calibration |
Int16 |
[1 1] |
-180 |
180 |
-120 |
|
|
Straight_RoadSign |
Calibration |
Int16 |
[1 1] |
-180 |
180 |
0 |
|
|
Vehicle_Direction_Indicator |
Output |
Boolean |
1 |
0 |
1 |
- |
- |
Procedure :
1) Creating Data Dictionary
The signals and calibration are added as per requirement.
2) Creating main Sub system.
3) Creating Sub system and use of switch block.
Model of the first sub system-
4) Model of Second Sub system
Use of conditional block to get the result. Comparing every road sign, we get the vehicle turning direction. Left,Right or Straight.
Model Inside the main sub system
Simulink model for Vehicle Direction Detection
Conclusion :-
Created data dictionary file and Simulink model for Vehicle Direction Detection System.