This document describes a vehicle speed control and accident avoidance system based on an ARM M4 microprocessor. The system uses ultrasonic sensors to detect obstacles in front of and behind a vehicle. It is designed to automatically control vehicle speed and brake to avoid accidents at high speeds. The system was simulated, implemented on a prototype vehicle using a ARM M4 processor, ultrasonic sensors, LCD display, buzzer, and braking system. It was able to detect obstacles and smoothly apply the brakes. The system aims to save pedestrians' lives. Future work may include improving the braking algorithm, using higher range sensors, and modifying the vehicle.

1. “VEHICLE SPEED CONTROL AND ACCIDENT
AVOIDANCE SYSTEM BASED ON ARM M4
MICROPROCESSOR”
Author’s
Md. Raseduzzaman Ruman

2. SUITABLE REASON FOR CHOOSING THIS PROJECT

3. PROJECT GOAL
Vehicle speed
control
Automatic
vehicle
controlAvoid
accident for
high speed

4. BLOCK DIAGRAM
ARM M4
Processor
(Teensy 3.2)
Front
Sonar
Sensor
Front
Sonar
Sensor
Back
Sonar
Sensor
CAN
BUS
Arduino
Uno
LCD
DISPLAY BUZZE
R
Braking
System

5. SIMULATION OF THIS PROJECT

6. HARDWARE IMPLEMENTATION
Fig(1): Vero-Board
implemtation
Fig(2): Prototype of Vehicle

7. RESULTS
Fig(3): Displaying distance of
obstacle
Fig(4): Braking after obstacle
detection

8. DEMO OF BRAKING SYSTEM

9. NOVELTY OF THE WORK
Brake
smoothly
Detect
obstacles
faster
Save
pedestrians
life

10. LIMITATIONS
 Range of sonar sensor.
 Only flat object capable to detect.
 Speed variation of detecting obstacle position.

11. FUTURE SCOPE
 Update the braking algorithm.
 Implement high range sonar.
 Using high torque stepper motor for precise braking.
 Modify the vehicle

12. CONCLUSION
In this project a CAN based accident
avoidance system has been proposed.
Design is developed using ARM M4
Microprocessor. System is designed,
implemented and tested for vehicle safety.
The result and analysis of this practical
experiment shows expected output and
guaranteeing safety of driver and obstacles
such as pedestrians, other vehicles.

13. REFERENCES
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14. Thank