Disclosed is a physique estimation device that can estimate a physique. The physique estimation device includes: a sensor having a transmission antenna to transmit a transmission wave, and a reception antenna to receive the transmission wave reflected by at least one target in a vehicle cabin as a received wave; a frequency analysis unit to acquire position information about a reflection point where the transmission wave is reflected using the received wave; and a physique estimation unit to estimate the physique of a non-static object present in the vehicle cabin using the position information.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

An agricultural machine includes a vehicle body, an obstacle detector to detect obstacles, an autonomous travel controller to perform autonomous travel of the vehicle body, the autonomous travel controller being configured or programmed to, when performing the autonomous travel, stop the vehicle body based on detection information about an obstacle detected by the obstacle detector, and a mode switch to switch a mode during the autonomous travel in an agricultural field between an effective mode in which the stopping of the vehicle body based on the detection information is allowed and an ineffective mode in which the stopping of the vehicle body based on the detection information is not allowed.

An illustrative example system includes at least one alertness detector that is configured to detect an alertness condition of a driver of a vehicle and an alertness condition of a passenger in the vehicle. A controller is configured to determine a sleep risk factor based on the alertness condition of the passenger. The controller is also configured to determine a likelihood that the driver is sleepy based on the alertness condition of the driver and the sleep risk factor. The controller is configured to control a feature of the vehicle to assist the driver when the determined likelihood satisfies a predetermined criterion.

A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data from one or more imaging radar sensors of a vehicle, identify, based on the sensor data, a radar point cloud corresponding to an occupant of the vehicle, analyze the radar point cloud to determine an occupant classification of the occupant, determine an operating parameter for a feature of the vehicle based on the occupant classification, and implement the operating parameter for the feature.

A method of optimizing rider satisfaction includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as indicative of an effect on a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, at least one aspect of rider satisfaction affected by an effect on the transportation system derived from the social media data classified as indicative of an effect on the transportation system. The method still further includes optimizing, using a third neural network of the hybrid neural network, the at least one aspect of rider satisfaction for at least one rider occupying a vehicle in the transportation system.

Various systems and methods are provided for determining a posture of an occupant of a vehicle. In one embodiment, a method comprises capturing images of an occupant in a vehicle via a vehicle camera, determining a current posture of the occupant and a recommended posture for the occupant based on the captured images and body measurements of the occupant, and outputting a guidance based on a difference between the current posture and the recommended posture. In this way, a comfort of the occupant may be increased by guiding the occupant toward a more ergonomic posture.

An autonomous driving controller includes: a processor to collect driving data when a vehicle is traveling and calculate a steering override reference value, which is a criterion of determining an override mode, based on the collected driving data; and a storage to store the collected driving data and a set of instructions executed by the processor to calculate the steering override reference value. In particular, the processor controls autonomous driving by varying the steering override reference value based on the collected driving data or information regarding a driver of the vehicle.

A method and system for detecting one or more living beings in a vehicle. An indication that the engine is off is received via on on-board diagnostics (OBD) device. Whether a first living being is in the front seat area is determined, and whether a second living being is in the back seat area is determined. In response to a determination that a first living being is not in the front seat area and a second living being is in the back seat area, a first temperature reading for a first temperature inside the vehicle is received and a second temperature reading for a second temperature outside the vehicle is received. A delta between the first temperature and the second temperature is computed. If the delta is less than a first threshold, then an alert is sent via the OBD device to a computing device associated with a user.

A method includes receiving a first signal from a button circuit and first sensed signal data from a sensor circuit in the first temporal period. A first occupancy area of a set of occupancy areas is identified based on the first sensed signal data. Performance of a first functionality associated is facilitated based on identifying the first occupancy area. A second signal from the button circuit and second sensed signal data is received in a second temporal period. A second occupancy area of the set of occupancy areas is identified based on the second sensed signal data. Performance of a second functionality is facilitated based on identifying the second occupancy area.