Abstract: Various embodiments disclosed herein relate to defective pixel detection and correction, and more specifically to using threshold functions based on color channels to compare pixel values to threshold values. A method is provided herein that comprises identifying a color channel of an image pixel in a frame and identifying a threshold function based at least on the color channel. The method further comprises applying the threshold function to one or more nearest-neighbor values to obtain a threshold value and determining whether a corresponding sensor pixel is defective based at least on a comparison of the image pixel to the threshold value.

Abstract: A system is provided. The system generally includes a first processor configured to receive image input data from a red-green-blue infrared (RGBIR) sensor. The first processor of the system is configured to generate a first intermediate image data from the image input data. The system generally includes a second processor. The second processor of the system is configured to generate a second intermediate image data that includes red-green-blue (RGB) image data from the first intermediate image data, and to generate a third intermediate image data that includes infrared (IR) image data from the first intermediate image data. The system generally includes a third processor. The third processor of the system is configured to process the third intermediate image data. The system generally includes a fourth processor. The fourth processor of the system is configured to process the second image data.

Abstract: This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.

Abstract: This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.

Abstract: This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.

Abstract: This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: Apparatus and methods for disparity cost computation for a stereoscopic image. In an example, a method includes computing partial path matching costs for multiple disparities of pixels of multiple parallelogram blocks of an image in a forward pass direction. Between computing the partial path matching costs of the pixels of adjacent parallelogram blocks, the method includes computing partial path matching costs for the plurality of disparities of pixels along a boundary edge of a corresponding rectangular tile using paths that are external to the rectangular tile and computing partial path matching costs the disparities for all of the pixels of the corresponding rectangular tile. The method also includes computing total aggregated disparity costs for each disparity of the pixels of the image using the partial path matching costs computed for the pixels in the parallelogram blocks and in the rectangular tiles.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: Apparatus and methods for disparity cost computation for a stereoscopic image. In an example, a method includes computing partial path matching costs for multiple disparities of pixels of multiple parallelogram blocks of an image in a forward pass direction. Between computing the partial path matching costs of the pixels of adjacent parallelogram blocks, the method includes computing partial path matching costs for the plurality of disparities of pixels along a boundary edge of a corresponding rectangular tile using paths that are external to the rectangular tile and computing partial path matching costs the disparities for all of the pixels of the corresponding rectangular tile. The method also includes computing total aggregated disparity costs for each disparity of the pixels of the image using the partial path matching costs computed for the pixels in the parallelogram blocks and in the rectangular tiles.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: A system and method for detecting and correcting bit errors in received packets is disclosed. The presence of bit errors in a received packet are detected using CRC bits carried in the received packet. One or more erroneous bits may be identified in a header of the packet. The erroneous bits are corrected by setting the erroneous bits to match the expected bit settings. The corrected packet is then error-checked using the CRC bits. Errors may be detected in two sequential packets where a second packet is a retransmission of a first packet. Differing bits are identified in the two sequential packets. A packet is modified to include additional combinations of the differing bits and then error-checked with each combination of the differing bits. If a modified packet passes error checking, then process the modified packet.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: An apparatus for preventing a relay attack that includes a microcontroller, a receiver, and a transmitter. The receiver is configured to receive a challenge message from a verifier. The challenge message has a challenge message frequency at a first challenge message frequency during a first time slot. The transmitter is configured to transmit a response message to the verifier. The response message has a response message frequency at a first response message frequency during the first time slot. The first response message frequency is different than the first challenge message frequency. The challenge message frequency is at a second challenge message frequency and the response message frequency is at a second response message frequency during a second time slit. The second challenge message frequency is different than the second response message frequency.

Abstract: Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.

Abstract: A CRC (cyclic redundancy check) generator circuit (28) generates a first CRC code based on a message. The CRC code is amended to the message, creating a first data packet. Circuitry transforms the first data packet to a second data packet for suitable transmission. Digital receiver circuitry receives the second data packet. A CRC verification circuit compares a received digital CRC code portion of the second data packet to a calculated digital CRC code portion. A message is presented for processing if no error is detected. A CRC-based FEC (forward error correction) circuit receives the message and calculates a digital CRC code from the verification circuit. When an error is detected, the detected error, based on a determination of whether the detected error affects an even number of bits or an odd number of bits, is corrected.

Abstract: This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.