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Enhancing Automobile Safety: Alert System for 21st Century Vehicles

This presentation discusses the design and implementation of a safety enhancement feature for automobiles. The purpose is to increase driver awareness and safety through an alerting system that detects emergency sirens, automatically lowers the car stereo volume, and displays a symbol on the dashboard. The hardware and algorithms used in the system are explored, along with the proof of concept results. The objective is to develop a reliable prototype that can be integrated into automobiles. The project is sponsored by General Motors.

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Enhancing Automobile Safety: Alert System for 21st Century Vehicles

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  1. Safety Enhancement Features for 21st Century Automobile Don VanderLaan Jeremy Konz Natalie Hannon Tom Aprik Sponsor: General Motors

  2. Presentation Outline Purpose Design Parameters Hardware Algorithms Proof of Concept

  3. Purpose Increase automobile safety and driver awareness with an “alerting system” Detect an emergency siren audio signal Turn down the volume of the car stereo Display an indicator symbol on the dashboard

  4. Background Increase safety in conjunction with the Emergency Vehicle Safety Initiative, a partnership between the U.S. Fire Administration (USFA) and the Society of Automotive Engineers (SAE).

  5. Design Objectives • Develop Matlab code for signal processing • Program microcontroller with signal processing code • Interface components to build prototype • Test prototype for reliability • Package prototype for automobile

  6. Hardware • Main processing is done in dsPIC unit • dsPIC is combination DSP/µC by Microchip • Eliminates need for separate DSP and µC • Specialized DSP algorithm libraries for convolution • Code written in C

  7. Hardware ctd. External EEPROM is needed to store microphone waveform data in combination with original siren waveform Specialized microphone could be fitted, our project will be generic Radio speaker control relay LED, would be CAN message to instrument cluster in real car

  8. Siren Detection Algorithm Siren will be detected using a matched filter Equivalent to convolution without the time reversal Threshold the output to determine if the siren is present Must be robust enough to work under 10% Doppler shift

  9. Proof of Concept • Tested with a SNR of 0.27 – far below practical conditions • Convolved output clearly indicates a siren present

  10. Proof of Concept ctd. • Tested with SNR of 0.27 and a Doppler shift of 10% • Convolved output still indicates siren present

  11. Conclusion • Questions? • Next Steps

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