College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering



Primary Advisor

Payam Nayeri, College of Engineering, Electrical Engineering Department


In the early 2000s, few automakers began implementing forward collision warning systems in their cars. As technology advanced this system became available on more and more luxury cars. In recent years, this technology has spread to more affordable vehicles driven every day. However, as this technology has only recently advanced to less expensive, more economical cars, older vehicles of the same model may not have this advanced and important safety feature. This project investigates and creates a preliminary design for an affordable, easy-to-install, forward collision warning system that can be retrofitted to vehicles without the system currently installed. Using a density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm, an extended Kalman filter, and a time-to-collision algorithm, a forward collision warning system was developed and simulated using the Insurance Institute of Highway Safety (IIHS) test scenarios. Software testing and implementation was done in MATLAB and has provided a foundation for future hardware implementation using Texas Instruments mmWave automotive radar (AWR1843BOOST) .