SlideShare a Scribd company logo
Automatic Speed Coordination
Built & Designed by Rohan Kotwani
The Original Idea
• The design evolved into a “smart algorithm” that would enable
autonomous vehicles to pass each others safely.
• Autonomous vehicles have become popular recently and this idea
could be useful in the near future.
Issues to overcome
• Ultrasonic sensors were noisy. The sensors were continuously sending
and processing data were sometimes unreliable.
• The microcontrollers that were uses, Arduinos, had only one clock
“timer” and a limited number of pins. Using all of the pins and timers
make the controller unstable.
• There was a lag time when pinging multiple sensors and executing
movements. It was reasoned that another microcontroller was
needed to interface the sensors.
Proof of concept
• A “ZUMO robot” controlled by an Arduino was the autonomous
system used.
• A second Arduino UNO was used to interface multiple position
sensors and communicate with the autonomous vehicle.
• Sensor data was interfaced the second microcontroller via the serial
communication interface.
Block Diagram
State Diagram
Circuit Diagram
The End

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Senior Design 2015

  • 1. Automatic Speed Coordination Built & Designed by Rohan Kotwani
  • 2. The Original Idea • The design evolved into a “smart algorithm” that would enable autonomous vehicles to pass each others safely. • Autonomous vehicles have become popular recently and this idea could be useful in the near future.
  • 3. Issues to overcome • Ultrasonic sensors were noisy. The sensors were continuously sending and processing data were sometimes unreliable. • The microcontrollers that were uses, Arduinos, had only one clock “timer” and a limited number of pins. Using all of the pins and timers make the controller unstable. • There was a lag time when pinging multiple sensors and executing movements. It was reasoned that another microcontroller was needed to interface the sensors.
  • 4. Proof of concept • A “ZUMO robot” controlled by an Arduino was the autonomous system used. • A second Arduino UNO was used to interface multiple position sensors and communicate with the autonomous vehicle. • Sensor data was interfaced the second microcontroller via the serial communication interface.