Gm Global Technolgoy Operations, Inc.

Ronit Bustin

Omer Tsimhoni

Eran Kishon

Joseph Kampeas

Gila Kamhi

Ron M Hecht

Claudia V Goldman-Shenhar

Ariel Telpaz

Yael Shmueli Friedland

Yi G Glaser

Zahy Bnaya

Daniel S Glaser

Andrea Forgacs

Asaf Degani

Claudia Goldman-shenhar

A vehicle capable of operating autonomously, a system for generating a notification for a behavior of the vehicle includes a method of generating the notification using artificial intelligence. The system includes an interface and a processor. The processor is configured to determine a current state of the vehicle, determine probabilities for a plurality of trajectories through a behavior model of the vehicle, each trajectory indicating one or more decisions from the current state to a subsequent state of the vehicle using the behavior model for the vehicle, generate a message to be presented as the vehicle performs the behavior that is determined by the artificial intelligence system, wherein the behavior is selected based on the probabilities, determine a temporal parameter for the message, determine a modality parameter for the message, and present the message at the interface using the temporal parameter and the modality parameter.

System and method for computing automatic notifications about a policy of behavior generated by an artificial intelligence algorithm

A system and method for limited rate context-based eye gaze encoding includes generating, based on an outward looking camera situated in a vehicle, a first video stream of a surrounding environment to a controller. The controller generates a scene description based on the first video stream and selects a corresponding scene from a predefined list of known scenes. Further, the controller, based on the selected corresponding scene, selects a codebook of encoding and decoding parameters from a plurality of predefined codebooks. Based on an inward looking camera situated in the vehicle, a second video stream of a face of a driver to an eye tracker controller is generated, where the eye tracker controller estimates a gaze direction of the driver. Encoded data comprising the estimated gaze direction of the driver is transmitted over a bandwidth limited channel to a decoder, based on the selected codebook, the encoded data.

Limited rate context based eye gaze encoding

A system for control of an automated device includes a control system configured to operate a device during an operating mode corresponding to a first state in which the control system automatically controls operation, the operating mode prescribing that a user monitor the device operation during automated control, and a scheduling module configured to, during the operating mode, receive a request for the user to temporarily stop monitoring in order to perform a task unrelated to the device operation, allocate a time period during which automated control is maintained and the user stops monitoring, the time period including a non-monitoring period having a duration based on a minimum amount of time for the task, and put the device into a temporary state at initiation of the allocated time period during which the user stops monitoring and automated control is maintained.

Allocation of non-monitoring periods during automated control of a device

A vehicle communication and control system includes a first vehicle in signal communication with a remote computing system and/or a second vehicle. The first vehicle includes a sensor configured to capture a raw image having a first image volume and including at least one target object. An image encoder included in the vehicle converts the raw image into a masked image having a second image volume that is less than the first image volume. A segmentation unit included in the remote computing system and/or the second vehicle determines the at least one target object from the masked image, generates a masked segmented image including a sparse segmentation of the at least one target object, and converts the sparse segmentation of the at least one target object into at least one recovered segmented target object indicative of the at least one target object.

Remote segmentation under limited computational resources and rate constraints

A method in a rate adaptive system includes categorizing, by an encoder, a plurality of clusters of data in a segmented image into one of a plurality of categories corresponding to a different predetermined label with a predetermined priority level; vectorizing, by the encoder, the data to generate a sparse vector xfor its corresponding label; encoding, by the encoder, a plurality of the sparse vectors xby multiplying a measurement matrix A(t) with the sparse vector xto generate a set of encoded information y; transmitting, by the encoder to the decoder, the plurality of sets of the encoded information yin a prioritized order; decoding, by the decoder, the plurality of sets of encoded information yto determine the plurality of the sparse vectors xbased on determining measurement matrix A(t); and uniting the plurality of the sparse vectors xinto a single image frame.

Rate adaptive encoding decoding scheme for prioritized segmented data

A method of near-lossless universal data compression using correlated data sequences includes detecting first target surroundings via a first sensor, encoding a first data sequence indicative of the detected target surroundings, and communicating to an electronic controller, the encoded first data sequence. The method additionally includes detecting the first target surroundings via a second sensor, and encoding a second data sequence indicative of the target surroundings detected by the second sensor. The method also includes communicating the encoded second data sequence to the controller. The method additionally includes decoding, via the controller, the encoded first and second data sequences. The method also includes, via the controller, determining a statistical correlation between the decoded first and second data sequences and formulating a mapping function having reduced cardinality and indicative of the determined statistical correlation. Furthermore, the method includes feeding back the mapping function by the controller to the first processor.

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Kfar Saba, Israel

Ronit Bustin