Abstract: “This paper proposes a system that can estimate kinematic parameters of the target vehicle like location, velocity, and acceleration to avoid possible vehicle collision. Kinematic parameters are extracted from radar signal with appropriate waveform modulation. Hybridlinearfrequencymodulation (LFM) and frequency- shiftkeying(FSK) is used in radar so that more than one target is detected with high range resolution and high time update. Extracted kinematic parameters are than process using Modified Linear Kalman Filter (MLKF) along with trilateration process. Extended Kalman Filter (EKF) is also use to compare response of the two systems. Sensor network is useful for 360 degree protection of individual car. Sensors used in sensor network are 77GHz wide range radar and 24GHz ultra-wide band (UWB) short range radar (SRR).”

Keywords: Automotive Safety, Collision Avoidance (CA), kalman filter, Radar