- Search Terms: ((machine learning) OR (artificial intelligence)) (detect) assignee:tesla after:priority:20050101
- Total Patents found: 21
- Due Date: 8月 11, 2019
Charge rate optimization
An electric charging system for a battery pack of an electric vehicle, including a charging station electrically coupled to the battery pack, the charging station transferring charging energy to the battery pack at a maximum last charge rate in a first operational mode and transferring charging energy to the battery pack at a slower charge rate in a second operational mode; a data collection system acquiring a set of data indicating a state of charge (SOC) of the battery pack and one or more desired charge optimization parameters; and a station control, responsive to the set of data and to the desired charge optimization parameters, automatically establishing a charging profile for the battery pack to assert a control signal and operate the charging station in the second operational mode whenever the charging station is able to transfer sufficient energy to the battery pack at the slower charge rate to meet an SOC target and a charge completion time target, otherwise asserting the control signal and operate the charging station in the first operational mode.
Field-invariant quantitative magnetic-resonance signatures
A system that determines an invariant magnetic-resonance (MR) signature of a biological sample is disclosed. During operation, the system determines a magnetic-resonance (MR) model of voxels in a biological sample based on differences between MR signals associated with the voxels in multiple scans and simulated MR signals. The MR signals are measured or captured by an MR scanner in the system during multiple MR scans, and based on scanning instructions, and the simulated MR signals for the biological sample are generated using the MR model and the scanning instructions. Moreover, the system iteratively modifies the scanning instructions (including a magnetic-field strength and/or a pulse sequence) in the MR scans based on the differences until a convergence criterion is achieved. Then, the system stores, in memory, an identifier of the biological sample and a magnetic-field-strength-invariant MR signature of the biological sample that is associated with the MR model.
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Fast scanning based on magnetic resonance history
During operation, a system iteratively captures MR signals of one or more types of nuclei in one or more portions of a biological lifeform based on scanning instructions that correspond to a dynamic scan plan. The MR signals in a given iteration may be associated with voxels having associated sizes at three-dimensional (3D) positions in at least a corresponding portion of the biological lifeform. If the system detects a potential anomaly when analyzing the MR signals from the given iteration, the system dynamically modifies the scan plan based on the detected potential anomaly, a medical history and/or an MR-scan history. Subsequent measurements of MR signals may be associated with the same or different: types of nuclei, portions of the biological lifeform, voxels sizes and/or 3D positions.
Common mode voltage enumeration in a battery pack
An apparatus and method for these embodiments of the present invention, useful in manufacturing for example, includes a plurality of battery modules serially intercoupled together, each module including a housing with an anode connector and a cathode connector, each housing including a memory for storing a module identifier and wherein an anode connector of a first module is coupled to a cathode connector of a second module; and a processing system, coupled to each the module, for determining a plurality of positional attributes of each the module, one positional attribute associated with each the module of the plurality of modules, the processing system writing an ID into the memory of each particular module responsive to the associated positional attribute for the particular module.
Method and Wearable Apparatus for Synchronizing a User With a Virtual Environment
The proposed method relates to the field of providing physical feedback to a user from a virtual application, particularly a computer game or other software applications. The method for interactive physiological and technological synchronization of a user with a virtual environment includes taking the user's biometric and/or kinematic parameters, transferring the user's biometric and/or kinematic parameters to an application program, generating feedback signals in the application program, transmitting the feedback signals to a computing device, processing the feedback signals and supplying feedback pulses which invoke physical sensations in the nervous system of the user through contact with the user's skin, wherein the feedback pulses are supplied using the principle of cascaded distribution of electrical pulses. Also claimed are variants of a wearable apparatus for implementation of the proposed method. The proposed method and apparatus allow for creating a deep-sense reality for the user.
Vector computational unit
A microprocessor system comprises a computational array and a vector computational unit. The computational array includes a plurality of computation units. The vector computational unit is in communication with the computational array and includes a plurality of processing elements. The processing elements are configured to receive output data elements from the computational array and process in parallel the received output data elements.
Augmented reality application for manufacturing
A series of images of a physical environment are obtained. At least a portion of an object detected in the series of obtained images is identified. A deviance from a reference property associated with the detected object is detected using the series of images. Information associated with the deviance is provided via an augmented reality device.
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Computational array microprocessor system with variable latency memory access
A microprocessor system comprises a computational array and a hardware arbiter. The computational array includes a plurality of computation units. Each of the plurality of computation units operates on a corresponding value addressed from memory. The hardware arbiter is configured to control issuing of at least one memory request for one or more of the corresponding values addressed from the memory for the computation units. The hardware arbiter is also configured to schedule a control signal to be issued based on the issuing of the memory requests.
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Computational array microprocessor system using non-consecutive data formatting
A microprocessor system comprises a computational array and a hardware data formatter. The computational array includes a plurality of computation units that each operates on a corresponding value addressed from memory. The values operated by the computation units are synchronously provided together to the computational array as a group of values to be processed in parallel. The hardware data formatter is configured to gather the group of values, wherein the group of values includes a first subset of values located consecutively in memory and a second subset of values located consecutively in memory. The first subset of values is not required to be located consecutively in the memory from the second subset of values.
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Method and system for determining concentration of electrolyte components for lithium-ion cells
A computer-implemented method for determining a concentration of a component of an electrolyte in a lithium-ion or for a lithium-ion cell is provided. The method includes providing, to a spectrometer, instructions to capture a spectrum of a sample solution of the electrolyte and generate a signal. The method includes analyzing the signal to determine one or more spectral features of the spectrum. The method includes preparing a database of spectra corresponding to solutions having predetermined concentrations of the component of the electrolyte wherein the database includes a plurality for spectral features for each solution. The method further includes determining a machine learning (ML) model using the database of spectra. The method includes determining the concentration of the component of the electrolyte in the sample solution using the machine learning model.
Systems and methods for encoding and decoding
Various embodiments of the invention provide systems, devices, and methods for decompressing encoded electronic data to increase decompression throughput using any number of decoding engines. In certain embodiments, this is accomplished by identifying and processing a next record in a pipeline operation before having to complete the decompression of a current record. Various embodiments take advantage of the knowledge of the method of how the records have been encoded, e.g., in a single long record, to greatly reduce delay time, compared with existing designs, when decompressing encoded electronic data.
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Personalization system and method for a vehicle based on spatial locations of occupants' body portions
A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.
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Field-invariant quantitative magnetic-resonance signatures
A system that determines an invariant magnetic-resonance ( MR ) signature of a biological sample is disclosed. During operation, the system determines a magnetic-resonance ( MR ) model of voxels in a biological sample based on differences between MR signals associated with the voxels in multiple scans and simulated MR signals. The MR signals are measured or captured by an MR scanner in the system during multiple MR scans, and based on scanning instructions, and the simulated MR signals for the biological sample are generated using the MR model and the scanning instructions. Moreover, the system iteratively modifies the scanning instructions (including a magnetic-field strength and/or a pulse sequence) in the MR scans based on the differences until a convergence criterion is achieved. Then, the system stores, in memory, an identifier of the biological sample and a magnetic-field-strength-invariant MR signature of the biological sample that is associated with the MR model.
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Vehicle technologies for automated turn signaling
This disclosure discloses various vehicle technologies for automatically activating a turn signal when a vehicle is turning or changing lanes based on analysis of data, which can include data from an image capture device, radar, a steering angle sensor, and a ultrasonic sensor. This disclosure also contemplates that a decision to automatically activate a turn signal in a vehicle that is turning or changing lanes may take into account whether other vehicles or pedestrians are in vicinity thereof and whether those other vehicles or pedestrians would benefit from the turn signal being activated.
System and method for handling errors in a vehicle neural network processor
A system for handling errors in a neural network includes a neural network processor for executing a neural network associated with use of a vehicle. The neural network processor includes an error detector configured to detect a data error associated with execution of the neural network and a neural network controller configured to receive a report of the data error from the error detector. In response to receiving the report, the neural network controller is further configured to signal that a pending result of the neural network is tainted without terminating execution of the neural network.
Sensors for vehicle occupant classification systems and methods
Techniques are disclosed for systems and methods to detect and/or classify a vehicle occupant, such as a passenger seated within the cockpit of a vehicle. An occupant classification system includes an occupant weight sensor, an occupant presence sensor, and a logic device configured to communicate with the occupant sensors. The occupant weight sensor includes at least first and second conductive electrodes separated by a dielectric layer, top and bottom protective plastic layers configured to support the respective first and second conductive electrodes, and adhesive layers disposed between the plastic layers and the conductive electrodes and between the conductive electrodes and the dielectric layer. The top protective plastic layer is longer and/or wider than the first conductive electrode and the bottom protective plastic layer is longer and/or wider than the second conductive electrode to provide edge protection against electrical shorts for the first and second conductive electrodes.
Systems and methods for hardware-based pooling
Described herein are systems and methods that utilize a novel hardware-based pooling architecture to process the output of a convolution engine representing an output channel of a convolution layer in a convolutional neural network (CNN). The pooling system converts the output into a set of arrays and aligns them according to a pooling operation to generate a pooling result. In certain embodiments, this is accomplished by using an aligner that aligns, e.g., over a number of arithmetic cycles, an array of data in the output into rows and shifts the rows relative to each other. A pooler applies a pooling operation to a combination of a subset of data from each row to generate the pooling result.
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Technology for vehicle positioning
Despite the various factors affecting the signals from navigation satellites, and is provided with a variety of vehicle technology to improve the positioning accuracy. The positioning accuracy is increased by sharing the raw position data between a plurality of devices in at least one of which is known accurately enough for the position by determining an offset and for use in communications or the offset differential algorithm in a variety of ways.
Glovebox controller systems and methods
Techniques are disclosed for systems and methods to control a vehicle accessory actuator for an actuated vehicle accessory, such as an actuated glovebox in the cockpit of a vehicle. A vehicle accessory control system includes a vehicle accessory actuator and a logic device configured to control operation of the vehicle accessory actuator. The vehicle accessory actuator is configured to unlatch or otherwise control operation of a vehicle accessory. The logic device is configured to receive an unlatch or other control command associated with the vehicle accessory, determine an operating temperature, other environmental condition, or operational status associated with the vehicle, vehicle accessory, or vehicle accessory actuator, and to provide an actuator control signal to the vehicle accessory actuator to unlatch or otherwise control operation of the vehicle accessory, where electrical characteristics of the actuator control signal are based on the determined operating temperature, other environmental condition, or operational status.
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Augmented reality feature detection
An image is obtained. Based on hues of the image, a model of the image is generated. A reduced model associated with a manufactured item is received. The reduced model associated with the manufactured item is generated by reducing an original model associated with the manufactured item. An attempt is made to match at least a portion of the reduced model with the model of the image.
Improper seatbelt usage detection
A system for detecting improper usage of a seatbelt of a vehicle includes a vehicle seat having a seat cushion and a seat back. A shoulder belt and a lap belt are intended to restrain an occupant sitting on the vehicle seat. The system includes a sensor module associated with the shoulder belt and the lap belt. The sensor module generates signals indicative of at least one parameter associated with the vehicle seat, the shoulder belt, and the lap belt when the occupant is sitting on the vehicle seat. The system also includes a controller that receives the signals indicative of the at least one parameter associated with the seat back, the shoulder belt, and the lap belt. The controller analyzes the received one or more signals, and determines whether the seatbelt is being used improperly by the occupant, based on the analysis.
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