A control device of a vehicle is provided. The device controls travelling of the vehicle such that the vehicle follows another vehicle based on information received from the other vehicle; and determines whether to allow the vehicle to start to follow another vehicle based on at least one of whether a user of the vehicle is inside the vehicle or an instruction from the user. The processor starts to follow another vehicle in a case where the travel control circuit is allowed to follow the other vehicle.

Techniques for cognitive analysis for directed control transfer with autonomous vehicles are described. In-vehicle sensors are used to collect cognitive state data for an individual within a vehicle which has an autonomous mode of operation. The cognitive state data includes infrared, facial, audio, or biosensor data. One or more processors analyze the cognitive state data collected from the individual to produce cognitive state information. The cognitive state information includes a subset or summary of cognitive state data, or an analysis of the cognitive state data. The individual is scored based on the cognitive state information to produce a cognitive scoring metric. A state of operation is determined for the vehicle. A condition of the individual is evaluated based on the cognitive scoring metric. Control is transferred between the vehicle and the individual based on the state of operation of the vehicle and the condition of the individual.

Systems and methods are disclosed for determining a distraction level of a driver. A real-time driver analysis computer may receive sensor data from one or more driver analysis sensors. The real-time driver analysis computer may analyze the sensor data to determine a distraction level of a driver. Based on the distraction level, the real-time driver analysis computer may send one or more control signal to the vehicle and output one or more alerts to a mobile device associated with the driver.

A system for detecting and mitigating an unsafe condition in a vehicle includes an image sensor configured to generate and output image data of one or more seats in a cabin of the vehicle and a processing system operably connected to the image sensor and including at least one processor. The processing system is configured to receive the image data from the image sensor, process the image data to determine a location of at least one passenger in the cabin, detect that the at least one passenger is located outside of the one or more seats based on the determined location of the at least one passenger in the cabin, and operate at least one component of the vehicle in a predefined manner in response to detecting that the at least one passenger is located outside of the one or more seats.

The present disclosure provides, in an aspect, a computer-implemented method for modifying vehicle settings for a vehicle, the method comprising identifying a vehicle occupant having a personalized set of vehicle settings for the vehicle, identifying a condition modifier associated with the vehicle occupant and the personalized set of vehicle settings, and applying a vehicle setting from the set of vehicle settings based on the condition modifier.

A method and system for electronic trip familiarity detection based on sensory data measured by a plurality of sensors of a mobile telematics device associated with a user and/or a vehicle, the plurality of sensors at least comprising a GPS sensor and/or an accelerometer, the mobile device comprising one or more wireless connections, wherein by at least one of the wireless connection the mobile device acts as a wireless node within a cellular data transmission network by means of antenna connections of the mobile device to the cellular data transmission network, and the plurality of sensors being connected to a monitoring mobile node application of the mobile device, wherein the monitoring mobile node application captures usage-based and/or user-based sensory data of the plurality of sensors of mobile device.

The present invention obtains a processor, a processing method, a warning system, and a straddle-type vehicle capable of improving both the rider's safety and the rider's comfort. A processor (20) includes: an acquisition section that acquires surrounding environment information corresponding to output of a surrounding environment detector (11) during travel of a straddle-type vehicle (100); a determination section that determines necessity of warning operation provided to the rider and generated by the warning system (1); and a control section that makes an alarm (30) perform the warning operation in the case where the determination section determines that the warning operation is necessary. The acquisition section further acquires helmet posture direction information corresponding to output of a helmet posture direction detector (13) during the travel of the straddle-type vehicle (100). The determination section determines the necessity of the warning operation on the basis of the surrounding environment information and the helmet posture direction information.

An information processing method is executed by a computer and the method includes: obtaining first transported-object information that is transported-object information including a position and a weight of a transported object on a moving body; obtaining a weight of the moving body; generating information indicating a predicted steering angle center value by inputting the first transported-object information obtained and the weight of the moving body obtained into a model generated using second transported-object information, a weight of the moving body, and a steering angle center value of the moving body, the second transported-object information being older transported-object information than the first transported-object information; and outputting the information indicating the predicted steering angle center value to the moving body.

Redundant vehicle controls based on user presence and position are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle. The sensing zone is associated with a primary driving interface of the vehicle. Determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and that the vehicle is in a non-seated drive mode where the driver is permitted to operate the vehicle while not being in the fully-seated position. Activating a secondary driving interface of the vehicle when the driver is not in a fully-seated position and the vehicle is in the selected driving mode. The secondary driving interface can be used in combination with the primary driving interface.

A cab having a human-machine interface to generate a holographic image in order to control comfort equipment installed in the cab. The human-machine interface includes: a camera capable of capturing images representing a gaze of an occupant, one image generation unit having (a) a computer capable of calculating the position of the location of the occupant's gaze from the captured images, the computer being adapted to generate the digital holographic image according to the position of the occupant's gaze, (b) a spatial light modulator receiving the generated digital holographic image, and (c) a light source illuminating the spatial light modulator. The human-machine interface also includes a reflector reflecting the light beams emitted by the spatial light modulator into a visualizing window to form a holographic image positioned between the windscreen and the seat.