A vehicle includes: a capturer to capture a driver of the vehicle driving in an autonomous driving mode to obtain driver position information; a driver state detector to detect a state of the driver; and a controller to determine a time required to change from the autonomous driving mode to a manual operation mode based on the obtained driver position information and the detected driver state. In particular, the controller controls the change to driving mode of the vehicle based on the determined time to change from the autonomous driving mode to the manual operation mode.

A system and method for identifying a type of vehicle occupant based on locations of a portable device that include receiving a plurality of communication signals from the portable device and evaluating received signal strength measurements of the plurality of communication signals to determine a tracking pattern that includes a tracked path of the portable device as a user approaches a vehicle, enters the vehicle, and is seated within a particular seat of the vehicle. The system and method also include identifying the user as a driver of the vehicle or a non-driving occupant of the vehicle based on the tracking pattern and controlling at least one vehicle system by executing vehicle settings associated with the driver of the vehicle and the non-driving occupant of the vehicle based on identifying the user as the driver of the vehicle or the non-driving occupant of the vehicle.

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.

A vehicle control method is disclosed. The vehicle control method includes: while controlling the driving of a vehicle taking control of itself, determining if there is a need to hand over the control of driving to a passenger in the vehicle; if it is determined that there is a need to hand over the control of driving to a passenger in the vehicle, selecting at least one of passengers to whom the control of driving may be handed over; determining an order of priority in handing over the control of driving by taking into consideration the at least one selected passenger's occupancy state information; handing over the control of driving to a top priority passenger according to the order of priority; and controlling the driving environment by taking into consideration the top priority passenger's occupancy state information.

Embodiments of the present disclosure set forth a computer-implemented method comprising receiving, from at least one sensor, sensor data associated with an environment, generating, based on the sensor data, a set of lane change data values associated with positions of at least two vehicles relative to a first lane position in the environment, determining, based on the set of lane change data values, a collision risk value associated with the at least two vehicles attempting to occupy the first lane position, and generating, based on the collision risk value, an output signal to a first vehicle included in the at least two vehicles.

Disclosed is a control authority transfer apparatus of an autonomous vehicle, including a memory storing data on a plurality of users, and at least one processor setting driving operation priorities based on the data, wherein, in the state in which at least a part of autonomous driving control has failed, upon determining that a main user is in a state of being incapable of performing driving operation, the processor selects a first sub-user among a plurality of sub-users as a driving operation user according to the driving operation priorities, and selects a first device matching the first sub-user as a driving operation device.

A vehicular position estimation system determines a portable terminal position by causing multiple in-vehicle communication devices placed at different positions on a vehicle to wirelessly communicate with a potable terminal, and includes: a distance index value acquisition portion that acquires a distance index value indicating a distance between the multiple in-vehicle communication devices; a normal range storage portion that stores data indicating a normal range of the distance index value; and a communication device diagnosis portion that determines whether the in-vehicle communication device is normal. When the distance index value between a diagnosis target device and at least one different device is in a normal range, the communication device diagnosis portion determines that a failure does not occur in the diagnosis target device.

A vehicle control method is disclosed. The vehicle control method is a method for controlling a vehicle by associating a seat a passenger in the vehicle is sitting in with the passenger's service use information. The service use information generated after the passenger sits in the first seat may be stored in a first memory corresponding to the first seat. Upon detecting that the passenger has left the first seat and is sitting in the second seat, the service use information may be moved from the first memory to a second memory corresponding to the second seat and stored in the second memory. The service use information includes information that is stored in the first memory until the passenger leaves the first seat after sitting in the first seat. One or more of an autonomous vehicle according to the present invention, a user terminal, and a server may be associated with artificial intelligence, a robot, augmented reality (AR), virtual reality (VR), etc.

A system for controlling an autonomous vehicle is capable of predicting and eliminating a possibility of motion sickness before and during travelling of the autonomous vehicle. The system includes: a first control unit which compares a first vehicle motion sickness index that is determined by a travelling simulation with a first threshold set including passenger information before travelling and controls a boarding location of a passenger before travelling; and a second control unit which computes a passenger motion sickness index from passenger state information and vehicle state information detected during travelling, compares a second threshold indicating the degree of sensitivity to motion sickness according to passenger information during travelling with the passenger motion sickness index, and controls the autonomous vehicle so as to reduce or eliminate a generation of a motion sickness causing frequency.

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.