A control system of a vehicle that can travel by a plurality of travel modes which have different control operations from each other at the time of driving support control, comprises: a detection unit that detects an occupant or a plurality of occupants of the vehicle; a decision unit that decides, among the plurality of travel modes, a travel mode corresponding to an attribute of the occupant and/or a combination of occupants detected by the detection unit; and a control unit that controls travel of the vehicle by the travel mode decided by the decision unit.

The present technology relates to a driving assistant apparatus, a driving assistant method, a moving object, and a program that make it possible to perform appropriate driving assistant. The driving assistant apparatus includes a control unit that performs, on the basis of peripheral vehicle information regarding a peripheral vehicle present in an area corresponding to the number of occupants in a host vehicle, driving assistant processing of the host vehicle. The present technology is applicable to a moving object such as an automobile.

Systems and methods for detecting a vehicle hazardous condition of a recreational vehicle and activating a distress mode of the recreation vehicle in response to detecting the vehicle hazardous condition.

Systems and methods can improve passenger safety for an Autonomous Vehicle (AV) based on the integration of sensor data captured by the AV's interior and exterior sensors. The AV can determine passenger occupancy data corresponding to where each passenger is detected within the AV by the interior sensors. The AV can determine multiple sets of one or more driving actions that the AV can perform at a future time. The AV can generate crash impact data corresponding to where each passenger is detected from one or more simulated collisions between the AV and one or more objected detected by the exterior sensors when the AV performs one or more sets of driving actions from among the multiple sets. The AV can determine ranked sets of driving actions based on the passenger occupancy data and the crash impact data.

A method of avoiding a collision based on an occupant position includes determining the occupant position based on occupant detection information, determining a collision range with an other vehicle based on occupant position information, controlling a collision avoidance sensitivity increment based on a rear-end collision range with the other vehicle, and activating a collision avoidance operation to avoid a collision with the other vehicle based on the collision avoidance sensitivity increment.

Example systems and methods enable an autonomous vehicle to request assistance from a remote operator in certain predetermined situations. One example method includes determining a representation of an environment of an autonomous vehicle based on sensor data of the environment. Based on the representation, the method may also include identifying a situation from a predetermined set of situations for which the autonomous vehicle will request remote assistance. The method may further include sending a request for assistance to a remote assistor, the request including the representation of the environment and the identified situation. The method may additionally include receiving a response from the remote assistor indicating an autonomous operation. The method may also include causing the autonomous vehicle to perform the autonomous operation.

A method for automatically controlling an in-cabin environment for a passenger in an autonomous vehicle includes monitoring a state of the passenger via a video sensor; determining whether the state of the passenger corresponds to one of preset states of a predetermined number; and adjusting, when the state corresponds to the one of the preset states, any one or any combination of any two or more of a seat, an air conditioning system, a lighting system, a sound system, a variable window tinting, and a variable sunroof of the autonomous vehicle based on the state. The determining of the state of the passenger includes detecting a plurality of determination target objects from a video of the video sensor, cropping an image of each of the plurality of determination target objects, and determining whether the state of the passenger corresponds to the one of the preset states.

An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user's temperature to a threshold temperature, and if the user's temperature exceeds the threshold temperature, the AV performs checks to ensure that the user's planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user's home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

A computer includes a processor and a memory storing instructions executable by the processor to receive a speed of windshield wipers of a vehicle, adjust a setting for an adaptive cruise control of the vehicle based on the speed of the windshield wipers, and instruct a propulsion of the vehicle to operate in accordance with the adjusted setting of the adaptive cruise control.

At the time of starting a vehicle, if the vehicle is stopped even without an operation of braking the vehicle, a drive force to be generated before an actual start of the vehicle is limited to or below a predetermined maximum drive force.