An autonomous robot vehicle in accordance with aspects of the present disclosure includes a conveyance system and a compartment coupled to the conveyance system. The conveyance system autonomously drives the autonomous robotic vehicle between one or more storage locations and one or more delivery locations. The compartment receives one or more items stored at the one more storage locations. The compartment includes a temperature control module configured to maintain the compartment within a predetermined temperature range to provide temperature control for the one or more items as the conveyance system drives between the one or more storage locations and the one or more delivery locations.

A vehicle includes a controller, programmed to responsive to identifying a first user via a mobile device, load a first non-person entity associated with the first user from the mobile device to configure vehicle settings, the first non-person entity including a driver setting, a first entertainment setting and a second entertainment setting; and responsive to identifying a second user entering the vehicle, switch from the first entertainment setting to a second entertainment setting.

A start switch device includes a start button configured to send a command to start or stop a vehicle drive device, a biometric sensor arranged on the start button for reading a biometric information of an operator to operate an operating surface of the start button, a light source configured to emit an illuminating light from an inside of the start button toward the operating surface, and a design part arranged around the biometric sensor on the operating surface and configured to define a design on the operating surface by the illuminating light transmitted therethrough.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous vehicles may be automatically refueled by routing the vehicles to available fueling stations when not in operation, according to methods described herein. A fuel level within a tank of an autonomous vehicle may be monitored until it reaches a refueling threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to refuel the vehicle may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a fueling station, refill a fuel tank, and return to its starting location in order to refuel when not in use.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.

Upon obtaining biometric data for a user of a structure while the user is outside the structure, user data for the user is updated based on a confidence score for the biometric data exceeding a first confidence threshold. Based on the confidence score for the biometric data not exceeding the first confidence threshold, instructions are provided to the user to provide updated biometric data. Then the user data is updated based on a confidence score for the updated biometric data exceeding a second confidence threshold. The second confidence threshold is greater than the first confidence threshold. Structure components are controlled based on the updated user data.

An automobile identification system utilizes fingerprint sensors disposed an exterior and interior of an automobile to obtain fingerprint images. By means of the reference fingerprint image stored in the database and the determination of the processor, the automobile identification system determines whether the person who attempts to enter the automobile is a driver or not. The automobile identification system does not need the conventional key to open the door of the automobile and activate the engine of the automobile.

In an embodiment, a method for authenticating a user of a car includes: transmitting a plurality of radiation pulses through a predetermined portion of a surface of the car towards a portion of a hand of the user using a millimeter-wave radar; receiving a reflected signal from the portion of the hand using the millimeter-wave radar; generating a fingerprint signature based on the reflected signal; comparing the fingerprint signature to a database of authorized fingerprint signatures; and authorizing the user based on whether the fingerprint signature matches an authorized fingerprint signature of the database of authorized fingerprint signatures.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect biometric data of a vehicle user, identify a set of user-specific data from one or more stored sets of user-specific data based on the biometric data, and receive a request for a stored location. When the biometric data of the vehicle user match the stored biometric data, the instructions include instructions to display the requested location. When the biometric data of the vehicle user do not match the stored biometric data, the instructions include instructions to identify an offset location based on the requested location and a population density of the requested location and display the offset location.