Abstract: Disclosed herein is a system and a method for generating automation test scripts dynamically for Human Machine Interface (HMI) testing. Test configurations are generated for a Device Under Test (DUT) (115) based on a screen transition dataset upon receiving a user request (105). Based on test configurations and the screen transition dataset, HMI components located in a test path are identified for transitions from source HMI screens to destination HMI screens. Based on the HMI components, reference images are determined for the destination HMI screens from a screen design dataset. The test configurations are executed on the DUT (115) via an external simulating device (113) and transition associated with the test path is validated based on matching the real time destination HMI screen image with the reference image. Based on a validation result, automation test report (117) is generated for the DUT (115).

Abstract: Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.

Abstract: Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.

Abstract: The present invention relates to a method of estimating a navigation time of a vehicle. The method comprises obtaining at least one navigation route from a source location to a destination location from a user via a user device. Further, receiving in real-time at least one of a traffic information, information related to one or more events in a geographical area, a weather information and information related to a roadblock denoted as one or more factors. Finally, computing an estimated time for navigating from the source location to the destination location via the at least one navigation route based on identified one or more geographical locations, and one or more factors causing delay and a type of the vehicle, where the estimated time for the at least one navigation route is provided to the user for navigating the vehicle.

Abstract: The present disclosure relates to method and device for determining navigation of a vehicle based on feasibility of events by a navigation device. The navigation device comprises receiving events data associated with a user of the vehicle from one or more sources, determining one or more events associated with the user, based on at least one of the events data and a pre-defined template data, determining in real-time, feasibility to reach the one or more events based on a set of parameters, scheduling the one or more events based on the determination and determining navigation of the vehicle based on the one or more scheduled events.

Abstract: The present disclosure relates to method and device for determining navigation of a vehicle based on feasibility of events by a navigation device. The navigation device comprises receiving events data associated with a user of the vehicle from one or more sources, determining one or more events associated with the user, based on at least one of the events data and a pre-defined template data, determining in real-time, feasibility to reach the one or more events based on a set of parameters, scheduling the one or more events based on the determination and determining navigation of the vehicle based on the one or more scheduled events.