A method for monitoring occupants of a vehicle comprises identifying a respective body region for one or more occupants of the vehicle within an obtained image; identifying within the body regions, skeletal points including points on an arm of a body; identifying one or more hand regions; and determining a hand region to be either a left or a right hand of an occupant in accordance with its spatial relationship with identified skeletal points of the body region of an occupant. The left or right hand region for the occupant are provided to a pair of classifiers to provide an activity classification for the occupant, a first classifier being trained with images of hands of occupants in states where objects involved are not visible and a second classifier being trained with images of occupants in the states where the objects are visible in at least one hand region.

A hydrogen fuel cell, PV solar panel, and thermoelectric power generator powered all-electric mobile utility vehicle with an onboard regulated power supply with multiple power outlets and charging ports that uses DC/DC converters and DC/AC inverters to provide multiple DC and AC voltages to power or charge multiple external electrical devices, electronic instruments, electronic equipment, communications equipment, power tools, and vehicles simultaneously. A utility vehicle integrated with a component thermal management system GPS, Wi-Fi, ADAS, automotive Ethernet, telecommunications, real-time data reporting, warning notification capable, weather station, environmental sensors, with EMI, RFI, high voltage surge protection, circuit breakers, computer and supporting software programs which can be used in on-road, off-road and emergency response situations.

A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to obtain, while an adaptive cruise control feature of a vehicle traveling a roadway is set to operate in a standard operation mode, lighting condition data for an on-board camera of the vehicle, determine, based on the lighting condition data, whether the on-board camera is subject to a lighting-compromised condition, and responsive to a determination that the on-board camera is subject to the lighting-compromised condition, cause the adaptive cruise control feature to operate in a modified operation mode, wherein during operation in the modified operation mode, the adaptive cruise control feature operates in accordance with one or more modified operating parameters.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that generates path prediction data for agents in the vicinity of an autonomous vehicle using one or more machine learning models. One of the methods includes identifying an agent in a vicinity of an autonomous vehicle navigating through an environment and determining that the agent is within a vicinity of a crossing zone across a roadway. The crossing zone can be a marked crossing zone or an unmarked crossing zone. For example, the crossing zone can be an unmarked crossing zone that has been identified based on previous observations of agents crossing the roadway. In response to determining that the agent is within a vicinity of a crossing zone: (i) features of the agent and of the crossing zone can be obtained; (ii) a first input that includes the features can be processed using a first machine learning model that is configured to generate a first crossing prediction that characterizes future crossing behavior of the agent, and (iii) a predicted path for the agent for crossing the roadway can be determined from at least the first crossing prediction.

An active impact control system includes: at least one actuator couplable to a crush structure of a vehicle and couplable to a portion of a structure of the vehicle; at least one sensor configured to sense impact with an object; and a controller configured to receive information from the at least one sensor and to determine a location and angle of impact based on the information received from the sensor, the controller being further configured to selectively signal the actuator to cause the crush structure to move relative to the structure of the vehicle.

An apparatus includes a front detection sensor detecting presence of a pedestrian on a driving lane of the vehicle, gaze information of the pedestrian, and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting at least one of a speed, an acceleration, a steering angle, a steering angular velocity, or a pressure of a master cylinder of the vehicle; an electronic control unit activating a function of a pedestrian detection and collision mitigation system based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by controlling the electronic control unit.

An automatic steering system for an agricultural vehicle includes an assisted steering device and a controller or estimator operatively coupled to the assisted steering device and configured to adjust a calibration range. Adjusting the calibration range includes generating an estimated curvature for the vehicle based on a pose of the agricultural vehicle; generating an estimated encoder position of the encoder based on the estimated curvature; determining a current encoder position of the encoder; and adjusting the calibrated encoder range based on the estimated encoder position and the current encoder position.

A method for determining a road condition is carried out aboard a vehicle driving on the road and comprises the following steps: capturing the noise created by the friction between at least one tire and the road; analyzing the noise signal in the high frequency range to determine whether the road condition is dry or not; and, in case the road condition is not dry, analyzing the noise signal in the low frequency range to determine whether to road condition is wet or damp.

A control method is performed by an information display system displaying information on one or more display units included in a vehicle. The information display system executes guidance processing for guiding a line of sight of a driver of the vehicle toward a display unit which is not in the line of sight. The control method including: obtaining vicinity information indicating a state of vicinity of the vehicle from a device outside the vehicle; determining whether or not the driver should pay more attention to the state of the vicinity indicated in the vicinity information than the information displayed on the one or more display units; and executing control for suppressing the guidance processing when it is determined that the driver should pay more attention to the state of the vicinity than the information displayed on the one or more display units.

A system for communicating a driving mode of an autonomous vehicle (AV) comprises the AV, a control device, and a notification device. The control device defines a threshold region around the AV. The control device receives sensor data from sensors of the AV. The control device detects presence of a vehicle from the sensor data. The control device determines a distance between the vehicle and the AV. The control device determines that the vehicle is within the threshold region based on determining that the distance between the vehicle and the AV is within the threshold region. While the AV is operating in the autonomous mode, the control device triggers the notification device to notify the vehicle that the AV is operating in the autonomous mode, where notifying that the AV is operating in the autonomous mode comprises presenting a visual notification and/or communicating a data message to other vehicles.