Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: An optical receiver includes a plurality of photodetectors, a shared memory, and a pulse calibration processing unit communicatively coupled to the shared memory. The optical receiver also includes a hardware accelerator module configured to accept input waveforms from the plurality of photodetectors and compare an amplitude of the respective input waveforms with a predetermined threshold. Based on the comparison, the hardware accelerator module could determine subsets of the input waveforms and determine information indicative of characteristic aspects of the subsets of the input waveforms. The optical receiver is additionally operable to store the determined information in the shared memory and trigger an interrupt for the pulse calibration processing unit to initiate a pulse calibration process on the determined information.

Abstract: An optical receiver may include a plurality of photodetectors, a common processed data pipeline, and a plurality of processors. Outputs of the plurality of processors are communicatively coupled to the common processed data pipeline. Each processor is configured to accept input signals from a respective photodetector of the plurality of photodetectors. Each processor is also configured to process the input signals to provide processed data and output the processed data into a data stream of the common processed data pipeline according to one or more predetermined data locations. A method for using the optical receiver and a non-transitory computer readable medium are also described.

Abstract: Example embodiments relate to a lower power linearization of lidar signals. An example embodiment includes a method that includes receiving a sample value output by an analog-to-digital converter (ADC) in a processing unit of a lidar system. The ADC may be configured to digitize an optical signal that is compressed by a gain amplifier. The compression may be based on a transfer function comprising one or more linear portions. The method also includes comparing the sample value to one or more threshold values. The one or more threshold values may correspond respectively to the one or more linear portions. The method further includes selecting, for the sample value and based on the comparing, an inverse gain and an associated intercept. The method additionally includes linearizing the sample value based on the selected inverse gain and the associated intercept.

Abstract: Examples described relate to systems, methods, and apparatus for transmitting image data. The apparatus may comprise a memory buffer configured to store data elements of an image frame and generate a signal indicating that each of the data elements of the image frame have been written to the memory buffer, a processor configured to initiate a flush operation for reading out at least one data element of the image frame from the memory buffer and to output the at least one data element at a first rate, a rate adjustment unit configured to receive the at least one data element from the processor at the first rate and to output the at least one data element at a second rate, and a multiplexer configured to receive the at least one data element from the processor at the first rate and configured to receive the at least one data element from the rate adjustment unit at the second rate.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation. In an example encoder, first circuitry is to encode video input data into a bitstream according to a bitstream syntax, wherein the video input data includes one or more pictures, the one or more pictures are partitioned into one or more coding tree blocks, the one or more coding tree blocks are partitioned into slices including one or more coding tree blocks, the one or more coding tree blocks include one or more transform blocks according to a transform tree including a split_transform_flag indicative of the split of a given coding block into corresponding one or more transform blocks, the split_transform_flag is coded using CABAC, and a context index associated with the CABAC coding of the split_transform_flag is based on a value. Second circuitry of the encoder is to output the bitstream.

Abstract: Examples described relate to systems, methods, and apparatus for transmitting image data. The apparatus may comprise a memory buffer configured to store data elements of an image frame and generate a signal indicating that each of the data elements of the image frame have been written to the memory buffer, a processor configured to initiate a flush operation for reading out at least one data element of the image frame from the memory buffer and to output the at least one data element at a first rate, a rate adjustment unit configured to receive the at least one data element from the processor at the first rate and to output the at least one data element at a second rate, and a multiplexer configured to receive the at least one data element from the processor at the first rate and configured to receive the at least one data element from the rate adjustment unit at the second rate.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Abstract: Described examples relate to an apparatus for rearranging or reordering image data of a stream. The apparatus may include control circuitry coupled to a memory array. The control circuitry may be configured to receive the image data of the stream that includes a first image comprising first data elements organized in a row-wise format or a column-wise format and a second image comprising second data elements organized in a row-wise format or a column-wise format. The control circuitry may also be configured to write the first data elements to the memory array in a first order according to a first addressing sequence, read the first data elements from the memory array in a second order according to a second addressing sequence, and write the second data elements in the memory array according to the second addressing sequence.

Abstract: Examples described relate to systems, methods, and apparatus for transmitting image data. The apparatus may comprise a memory buffer configured to store data elements of an image frame and generate a signal indicating that each of the data elements of the image frame have been written to the memory buffer, a processor configured to initiate a flush operation for reading out at least one data element of the image frame from the memory buffer and to output the at least one data element at a first rate, a rate adjustment unit configured to receive the at least one data element from the processor at the first rate and to output the at least one data element at a second rate, and a multiplexer configured to receive the at least one data element from the processor at the first rate and configured to receive the at least one data element from the rate adjustment unit at the second rate.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Abstract: The technology relates to partially redundant equipment architectures for vehicles able to operate in an autonomous driving mode. Aspects of the technology employ fallback configurations, such as two or more fallback sensor configurations that provide some minimum amount of field of view (FOV) around the vehicle. For instance, different sensor arrangements are logically associated with different operating domains of the vehicle. Fallback configurations for computing resources and/or power resources are also provided. Each fallback configuration may have different reasons for being triggered, and may result in different types of fallback modes of operation. Triggering conditions may relate, e.g., to a type of failure, fault or other reduction in component capability, the current driving mode, environmental conditions in the vicinity of vehicle or along a planned route, or other factors.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Abstract: A computer-implemented method includes receiving a spatial feature descriptor representing a binary string of comparison results between specified pairings of N patches in a region of an image, N being an integer greater than one. The method further includes compressing the spatial feature descriptor by determining a minimum number of bits needed to represent N, and generating a sorted array representing a ranking of the N patches based on the binary string of comparison results. Each element of the sorted array is associated with a corresponding patch of the N patches and stores a value representing a ranking of the patch relative to the other N?1 patches and coded using the minimum number of bits needed to represent N. The sorted array may be further compressed using a progressive bit representation decimation process.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation.