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In this paper, driver intention estimation near a road intersection is presented, using discrete hidden Markov models (HMM) and the Hybrid State System (HSS) framework as basis. The development of Advanced Driver Assistance Systems (ADAS) has assisted drivers in many driving scenarios and resulted in safe driving. Developing techniques to estimate driver's intention leads to the advancement of ADAS. As a large number of accidents occur near road intersections, estimating the intention of a driver at an intersection is vital. The methods developed in this paper can be applied in ADAS to take appropriate measures in reducing accidents. The driver decisions are depicted as a Discrete State System (DSS) at a higher level and the continuous vehicle dynamics are depicted as a Continuous State System (CSS) at a lower level in the HSS framework. In the proposed technique, the vehicle's continuous …