Wipro Limited

Ramachandra Budihal

Surendran Rajendran

Venkata Prabhakar Tamma

Sujatha Jagannath

Ranjith Rochan Meganathan

Balaji Govindaraj

Sendil Kumar Jaya Kumar

Bharath Kumar Muthupandian

A method and system for guiding an autonomous vehicle to extract drivable road region is provided. The method involves capturing the road region ahead of the autonomous vehicle using a plurality of sensors. The road region is captured as a three-dimensional point cloud. Thereafter, a plurality of images of the road ahead the autonomous vehicle is captured using a camera. The captured road region and the plurality of images are mapped and compared. The mapping involves comparing the point cloud with plurality of pixels in the images. Based on the mapping, a training data is dynamically updated to incorporate current road conditions and a drivable road region is predicted. Finally, based on the drivable region, the autonomous vehicle is controlled and guided through the road.

Method, system, and device for guiding autonomous vehicles based on dynamic extraction of road region

A method and device are described for controlling a vehicle using a location based dynamic dictionary. The method includes receiving, by a navigation device, an image from an image sensing device associated with the autonomous vehicle, wherein the image sensing device captures the image at a location of the autonomous vehicle. The method includes extracting, by the navigation device, navigation content from the image. The method further includes identifying, by the navigation device, the navigation content from the image by comparing the navigation content from the image with a dynamic dictionary. The dynamic dictionary is created based on the location of the autonomous vehicle. The method further includes controlling, by the navigation device, the autonomous vehicle based on the navigation content.

Method and device for controlling an autonomous vehicle using location based dynamic dictionary

A method and system for managing Wireless Avionics Intra-Communication Systems (WAICSs) in a Radio Altimeter (RA) band is disclosed. The method includes allocating, by a communication management device, a plurality of RA sub-bands within the RA band to a plurality of WAICS transmitters, wherein each of the plurality of WAICS transmitters is allocated at least one of the plurality of RA sub-bands; detecting, by the communication management device, overlap of an RA signal with at least one RA sub-band from the plurality of RA sub-bands; and switching off, iteratively by the communication management device, at least one of the plurality of WAICS transmitters whose allocated RA-sub-band overlaps with at least a part of the RA signal.

Allocation of radio altimeter (RA) sub-bands to wireless avionics intra-communication systems

A technique is provided for localizing a plurality of wireless transmitters. The technique includes retrieving Received Signal Strength Indicator (RSSI) values measured by one or more sensors, corresponding to the plurality of wireless transmitters distributed in a region in which the sensors are located. The technique further comprises generating, a plurality of clusters based on the retrieved RSSI values. The technique further comprises generating a binary image based on the generated clusters. The binary image comprises one or more white regions and one or more black regions. The technique further comprises localizing position of each of the plurality of wireless transmitters, based on a determination of contours of the one or more white regions present in the binary image.

Method and system for localizing spatially separated wireless transmitters

A technique is provided for controlling a transmit range of a wireless transmitter. The technique includes retrieving Received Signal Strength Indicator (RSSI) values measured by one or more sensors, corresponding to the plurality of wireless transmitters distributed in a region in which the sensors are located. A plurality of parameters associated with the wireless transmitter to be placed within the region are received. The plurality of parameters includes a minimum range of transmission of the wireless transmitter and a preferred position in the region. A plurality of clusters are generated based on the retrieved RSSI values and the minimum range. Further, one or more positions for placing the wireless transmitter within a cluster from the plurality of clusters, and a maximum range of transmission at each of the one or more positions, are determined. The maximum range is determined by controlling a range of transmission of the wireless transmitter.

Method and system for controlling a transmit range of a wireless transmitter

In one embodiment, an image processing device for detecting tampering in a document image is disclosed. The image processing device comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which, on execution, causes the processor to determine an image quality of the document image by analyzing one or more quality features extracted from the document image. The processor is caused to pre-process the document image based on a pre-defined ontology of documents when the image quality is above a pre-defined quality threshold. Further, the processor is caused to segment the pre-processed document image into one or more region of interests based on the pre-defined ontology of documents and detect tampering in a region of interest in the document image by processing each region of interest of the one or more region of interests to detect tampering in the document image.

Methods and systems for detecting tampering in a document image

Embodiments of the present disclosure provide a method for guiding a user to capture an image of a target object using an image capturing device. In an embodiment, the method of the present disclosure comprises determining a bounding area for image to be captured and capturing at least one frame of the image upon detecting image to be inside the bounding area. Then, the target object in captured at least one frame is segmented by separating the target object from the rest of the image. Further, at least one of symmetry and self-similarity of the segmented target object is determined. In addition, at least one image parameter is determined by a sensor. The method then provides inputs for guiding user to capture a final image of the target object, based on at least one of determined symmetry, self-similarity, and at least one image parameter.

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Bengaluru, India

Ramachandra Budihal