A vehicle includes a communication device configured to request a neighboring vehicle for first data related to autonomous driving of the neighboring vehicle and to receive the first data from the neighboring vehicle while the vehicle is driving; a sensor device configured to sense second data regarding a state of a user of the vehicle and to detect third data regarding driving information of the neighboring vehicle; and a controller configured to classify risks of the vehicle into classes according to a preset criterion based on the first data, the second data, and the third data, and to score the risks based on the classified classes.

Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

A user equipment (UE) in a vehicle may transmit to another vehicle an inter-vehicle message with a driving maneuver request for a driving maneuver to be executed by the vehicle. The inter-vehicle message may include one or more estimated parameters, such as temporal, spatial, or trajectory parameters, for the driving maneuver. The inter-vehicle message may include further includes an indication of an estimation accuracy for the one or more estimated parameters. A UE in a vehicle that receives the inter-vehicle message may determine whether to grant, reject, or submit a counter-proposal to the request based at least in part on the estimated parameters and the indication of the estimation accuracy for the estimated parameters. A response to the maneuver request may be transmitted to the requesting vehicle that grants, rejects, or provides a counter proposal to the maneuver request.

A route provision apparatus for providing a route to a vehicle including a transceiver; a sensor interface configured to receive sensing information from one or more sensors; and a processor configured to identify a lane of the vehicle, estimate, using map information received from a navigation system and not from the server based on a communication state with the server satisfying a preset condition, an optimal route for the vehicle in lane units, generate autonomous driving visibility information by fusing the sensing information with the optimal route, and fuse dynamic information related to a movable object with the autonomous driving visibility information to update the optimal path based on the dynamic information, and wherein the sensing information is fused with the map information to generate a Simultaneous Localization and Mapping (SLAM) map.

A method for operating a motor vehicle in the event of an unavoidable collision with a collision object, in particular another vehicle. Environment data relating to the collision object are determined by an environment sensor device including at least one environment sensor and are evaluated to determine at least one driving intervention information for reducing the consequences of a collision. The motor vehicle is automatically guided in accordance with the driving intervention information, and the evaluation of the environment data is carried out together with structural information of the own motor vehicle describing the vehicle structure, in particular including elements absorbing collision energy of the motor vehicle, in such a way that a changed collision point maximizing the deformation energy absorbed by the vehicle structure and to be produced by the driving intervention information is determined when the driving intervention information is determined.

Disclosed herein are a cooperative driving method based on driving negotiation and an apparatus for the same. The cooperative driving method is performed by a cooperative driving apparatus for cooperative driving based on driving negotiation, and includes determining whether cooperative driving is possible in consideration of a driving mission of a requesting vehicle that requests cooperative driving with neighboring vehicles, when it is determined that cooperative driving is possible, setting a responding vehicle from which cooperative driving is to be requested among the neighboring vehicles, performing driving negotiation between the requesting vehicle and the responding vehicle based on a driving negotiation protocol, and when the driving negotiation is completed, performing cooperative driving by providing driving guidance information for vehicle control to at least one of the requesting vehicle and the responding vehicle.

An advanced driver assistance system is provided. The advanced driver assistance system of the vehicle comprises a communicator configured to communicate with an obstacle detector configured to detect an obstacle; and a processor configured to determine a riding intention of a user in response to reception of a door unlocking instruction, obtain location information of other vehicles based on obstacle information detected by the obstacle detector in response to determining that the riding intention exists, determine a collision possibility with other vehicles based on the location information of other vehicles, and control output of notification information for a collision in response to determining that the collision possibility exists.

A multifunctional vehicle includes a traveling input device that is operated by a driver of the multifunctional vehicle; an information processing device that processes operation information of the traveling input device and that switches and executes a normal driving mode for driving the multifunctional vehicle and a remote driving mode for driving the other vehicle; wearable glasses that communicate with another vehicle directly or via the information processing device, and a communication device that communicate with the other vehicle. In the normal driving mode, a vehicle control of the multifunctional vehicle is executed using control information generated based on the operation information. In the remote driving mode, the control information is transmitted to the other vehicle via the communication device. The wearable glasses are configured to display a surrounding image of the other vehicle during execution of the remote driving mode by the information processing device.

A method may include determining time-variable risk profiles for plural separate vehicle systems that are remotely controlled by operators that are located off-board the separate vehicle systems. The time-variable risk profiles represent one or more risks to travel of the separate vehicle systems. The method may include assigning the operators to remotely monitor or control the separate vehicle systems during the trips based on the time-variable risk profiles. The operator assigned changes with respect to time while the one or more separate vehicle systems is moving along one or more routes during the trip. A system may include one or more processors that may determine time-variable risk profiles for plural separate vehicle systems that are remotely controlled and assign the operators to remotely monitor or control the separate vehicle systems during the trips based on the time-variable risk profiles.

A driving control method is provided in which a processor configured to control driving of a vehicle acquires detection information around a vehicle on the basis of a detection condition that can be set for each point; extracts events which the vehicle encounters, on the basis of the detection information; creates a driving plan in which a driving action is defined for each of the events on the basis of the detection information acquired in the events; executes a driving control instruction for the vehicle in accordance with the driving plan; and determines the detection condition on the basis of the content of the driving action defined for each of the events.