G06F17/00

Vehicle occupancy-monitoring system

The techniques of this disclosure relate to a vehicle occupancy-monitoring system. The system includes a controller circuit that receives occupant data from an occupancy-monitoring sensor of a vehicle. The controller circuit determines an occupancy status of respective seats in a cabin of the vehicle based on the occupancy-monitoring sensor. The controller circuit indicates the occupancy status of the respective seats on a display located in a field of view of occupants of the vehicle. The display is integral to one of a roof light module, a door panel, or a headliner of the cabin. The system can improve passenger safety by alerting the operator and other occupants about the occupancy status of the passengers.

Control method and system of applet, server and terminal device

The present application discloses to a control method and system of an applet, a server, a terminal device, an electronic device, and a storage medium, which relate to artificial intelligence technology, voice technology, cloud technology, automatic driving technology, and information flow technology. The method includes: parsing audio information sent by a terminal device to obtain attribute information of the applet, where the audio information is used to instruct to open the applet; sending a request for acquiring page data to an applet server based on the attribute information; receiving the page data fed back by the applet server, generating a target page according to the page data and the attribute information, and sending the target page to the terminal device.

Method, apparatus, and system for combining location data sources

An approach is provided for combining location data sources. The approach, for instance, involves generating a first context-aware vector representation of a first location entity in a first data source and a second context-aware vector representation of a second location entity in a second data source. The approach also comprises processing the first context-aware vector representation and the second context-aware vector representation using a machine learning model to perform a classification of the first location entity as the same as the second location entity. The approach further comprises combining the first data source and the data source into a new database based on the classification and providing the new database as an output.

Identification device, identification system and method for identifying an object

An identification device is provided having an optical detector (1), a controller (5) and an identification transmitter unit (6), wherein the optical detector (1) has a detection area with an identification pattern partially covering the detection area and the controller (5) is designed to interact with the detector (1) and the identification transmitter unit (6) in such a manner that the identification transmitter unit (6) can be activated to transmit an identification signal depending on an analysis of the temporal sequence of measurement signals from the detector (1). A method is also provided for identifying an object by an identification system.

Steering systems and methods using active braking

A differentially steered vehicle includes brakes on the powered wheels which are applied via a controller according to different methods to inhibit freewheeling during turns and improve steering responsiveness and stability. The methods include applying braking force to the wheel on the inside of a turn in response to the rate of turn as indicated by the position of the steering control, to the pressure differential across the hydraulic motors driving the wheels and the rotational speed of the wheels.

Speech encoding using a pre-encoded database

Methods, systems, and devices for encoding are described. A device, which may be otherwise known as user equipment (UE), may support standards-compatible audio encoding (e.g., speech encoding) using a pre-encoded database. The device may receive a digital representation of an audio signal and identify, based on receiving the digital representation of the audio signal, a database that is pre-encoded according to a coding standard and that includes a quantity of digital representations of other audio signals. The device may encode the digital representation of the audio signal using a machine learning scheme and information from the database pre-encoded according to the coding standard. The device may generate a bitstream of the digital representation that is compatible with the coding standard based on encoding the digital representation of the audio signal, and output a representation of the bitstream.

Prioritized constraints for a navigational system

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive images representative of an environment of the host vehicle and analyze the images to identify a first object and a second object. The processor may determine a first predefined navigational constraint implicated by the first object and a second predefined navigational constraint implicated by the second object, wherein the first and second predefined navigational constraints cannot both be satisfied, and the second predefined navigational constraint has a priority higher than the first predefined navigational constraint. The processor may determine a navigational action for the host vehicle satisfying the second predefined navigational constraint, but not satisfying the first predefined navigational constraint and, cause an adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.

Apparatus and method for safety analysis evaluation with data-driven workflow
11562114 · 2023-01-24 · ·

An apparatus and method for system safety analysis evaluation is provided, the apparatus including processing circuitry configured for generating a calculation matrix for a system, generating a plurality of models based on the calculation matrix, performing a benchmarking or convolution analysis of the plurality of models, identifying a design envelope based on the benchmarking or convolution analysis, deriving uncertainty models from the benchmarking or convolution analysis, deriving an assessment judgment based on the uncertainty models and acceptance criteria, defining one or more limiting scenarios based on the design envelope, and determining a safety margin in at least one figure-of-merit for the system based on the design envelope and the acceptance criteria.

Tool changer device for a robotic arm
11559864 · 2023-01-24 · ·

A tool changer device for a robotic arm comprising a robot adapter (1) particularly adapted to be connected to a robotic arm (5) and to a tool (6). The robot adapter (1) comprises a pneumatic cylinder (117) inside which a piston (116) is slidably arranged for activating a coupling and uncoupling mechanism (120) of the robotic arm (5) to the tool (6). On one of the walls of the robot adapter (1) at least four through conduits (24, 25, 26, 27) are arranged, one end of which opens into the pneumatic cylinder (117) and another end of which opens outside of the pneumatic cylinder (117). The device further comprises a first differential pressure sensor (18) connected to at least two of the through conduits (24, 25), and a second differential pressure sensor (19) connected to another two of the through conduits (26, 27).

Generation of domain-specific models in networked system

The present disclosure is generally directed to the generation of domain-specific, voice-activated systems in interconnected networks. The system can receive input signals that are detected at a client device. The input signals can be voice-based input signals, text-based input signals, image-based input signals, or other type of input signals. Based on the input signals, the system can select domain-specific knowledge graphs and generate responses based on the selected knowledge graph.