Abstract: A method and system for navigating vehicles based on road conditions determined in real-time is disclosed. The method includes the steps of receiving a first dataset including an image of a section of a road within a Field of View (FOV) of a camera attached to a vehicle and a second dataset associated with the road. The method further includes detecting edges and a vanishing point in the image, correcting road perspectivity in the image, and determining surface anomalies in the road based on a set of parameters, the second dataset and a Time of Flight technique (ToF), creating a digital elevation model for the image, and assigning a value, in real-time, from a predefined value range to each of a plurality of grids in the image based on a digital elevation model to generate a digital elevation image. The set of parameters includes volume associated with the surface anomalies.

Abstract: The present invention relates to a method of identifying a brand and a model of a vehicle. The method comprises obtaining one or more video frames. Further, the method comprises detecting one of presence or absence of text in the at least one vehicle. Upon detecting the presence of the text, the method comprises determining at least one of the brand and the model of the at least one vehicle by accumulating the text recognized in the one or more video frames. Further, identifying at least one of the brand and the model of the at least one vehicle based on an accumulated text. Upon detecting the absence of the text, the method comprises determining the brand of the at least one vehicle based on logo associated with the vehicle.

Abstract: A method and system for navigating vehicles based on road conditions determined in real-time is disclosed. The method includes the steps of receiving a first dataset including an image of a section of a road within a Field of View (FOV) of a camera attached to a vehicle and a second dataset associated with the road. The method further includes detecting edges and a vanishing point in the image, correcting road perspectivity in the image, and determining surface anomalies in the road based on a set of parameters, the second dataset and a Time of Flight technique (ToF), creating a digital elevation model for the image, and assigning a value, in real-time, from a predefined value range to each of a plurality of grids in the image based on a digital elevation model to generate a digital elevation image. The set of parameters includes volume associated with the surface anomalies.

Abstract: The present invention relates to a method of identifying a brand and a model of a vehicle. The method comprises obtaining one or more video frames. Further, the method comprises detecting one of presence or absence of text in the at least one vehicle. Upon detecting the presence of the text, the method comprises determining at least one of the brand and the model of the at least one vehicle by accumulating the text recognized in the one or more video frames. Further, identifying at least one of the brand and the model of the at least one vehicle based on an accumulated text. Upon detecting the absence of the text, the method comprises determining the brand of the at least one vehicle based on logo associated with the vehicle.