The present invention obtains a controller and a control method capable of appropriately assisting with driving of a motorcycle by a rider.

A controller that controls operation of the motorcycle, to which a surrounding environment detector is mounted, includes: an acquisition section that acquires information on the surrounding environment of the motorcycle on the basis of output of the surrounding environment detector during travel of the motorcycle; and an adaptive cruise operation performing section that makes the motorcycle perform adaptive cruise operation on the basis of the surrounding environment information acquired by the acquisition section. The acquisition section acquires other vehicle travel state information that is information on a travel state of other vehicle acquired by a different vehicle from the motorcycle via wireless communication. The controller further includes a safety operation performing section that makes the motorcycle currently performing the adaptive cruise operation perform safety operation on the basis of the other vehicle travel state information acquired by the acquisition section.

An automated driving trajectory generating device is configured to: recognize a mobile object which is located near a vehicle; calculate a host vehicle path for automated driving of the vehicle and a plurality of predicted paths of the mobile object based on a position of the vehicle on a map, a position of the mobile object on the map, and map information; calculate a predicted acceleration which is generated in the mobile object moving along a predicted path for each predicted path based on the plurality of predicted paths and a vehicle speed of the mobile object; identify a target path which is a predicted path used to generate the trajectory out of the plurality of predicted paths based on a result of comparison between the predicted acceleration and an acceleration threshold value; and generate the trajectory based on the host vehicle path and the target path.

A method for controlling a safety device of a vehicle. The safety device reacts to an imminent collision of the vehicle with a collision object by an intervention in a longitudinal and/or lateral guidance of the vehicle. Environment data and trip data regarding the collision object and the vehicle, and intervention data regarding a planned intervention of the safety device, are read in. A first expected impingement point of the collision object on the vehicle is ascertained using the environment data and the trip data, and a second expected impingement point is ascertained using the environment data, the trip data, and the intervention data. A location of the first expected impingement point and of a location of the second expected impingement point relative to subregions referred to the vehicle are evaluated, using reference data. A control signal for the safety device is generated depending on a result of the evaluation.

A method for controlling a safety device of a vehicle. The safety device reacts to an imminent collision by an intervention in a longitudinal and/or lateral guidance of the vehicle. The method includes reading in environment data and trip data regarding the collision object in an environment of the vehicle and the vehicle, and seat occupancy data regarding an occupancy state of at least one seat of the vehicle; ascertaining: an expected impingement side of the collision object on the vehicle; a velocity change of the vehicle in the context of the collision; and a seat occupancy distribution in the vehicle, using the seat occupancy data; executing an evaluation of the velocity change with regard to a threshold value and/or of the seat occupancy distribution relative to the expected impingement side; generating, depending on a result of the evaluation, a control signal for the safety device.

A method for controlling a safety device of a vehicle. The safety device reacts to an imminent collision of the vehicle with a collision object by an intervention in a longitudinal and/or lateral guidance of the vehicle. The method includes reading in environment data and trip data regarding the collision object and the vehicle, and intervention data regarding the intervention of the safety device; ascertaining a first expected impingement point of the collision object on the vehicle using the environment data and the trip data, and a second expected impingement point of the collision object on the vehicle using the environment data, the trip data, and the intervention data; executing an evaluation of a location of the first expected impingement point and of a location of the second expected impingement point relative to subregions referred to the vehicle, using reference data; and generating a control signal for the safety device.

A method for controlling a safety device of a vehicle. The safety device reacts to an imminent collision of the vehicle with a collision object by way of an intervention in a longitudinal and/or lateral guidance of the vehicle. The method includes reading in environment data and trip data regarding the collision object and of the vehicle, and intervention data regarding a planned intervention of the safety device; ascertaining a first expected impingement region of the collision object on the vehicle, and a second expected impingement region of the collision object on the vehicle; executing an evaluation of a location of the first expected impingement region and of a location of the second expected impingement region relative to subregions referred to the vehicle, using reference data; generating, depending on a result of the evaluation, a control signal for the safety device.

A method for controlling a safety device of a vehicle. The safety device reacts to an imminent collision by an intervention in a guidance of the vehicle. Environment data and trip data regarding the collision object and the vehicle, and intervention data regarding a planned intervention of the safety device, are read in. First and second expected impingement points of the collision object on the vehicle are ascertained; an uncertainty value of the impingement points is ascertained; and a probability value for a location of at least one of the impingement points relative to subregions referred to the vehicle, is ascertained using the uncertainty value. An evaluation of a location of the impingement points relative to the subregions is executed using the at least one probability value and reference data. S control signal for controlling the safety device is generated depending on a result of the evaluation.

A surrounding vehicle monitoring device includes an acquiring unit configured to acquire a midpoint between a rear left end position and a rear right end position of another vehicle, acquire a width of the other vehicle, and change a current position of a great change position to a corrected position and acquire a midpoint between a current position of a small change position and the corrected position as a position of the other vehicle in a case where a changing amount of the width is equal to or more than a first threshold. The great change position is one of the rear left end position and the rear right end position whose changing amount is the greater of the two. The small change position is another of the rear left end position and the rear right end position whose changing amount is the smaller of the two.

A method using unsupervised velocity prediction and correction for urban driving from sequences of noisy position estimates includes: performing a vehicle velocity prediction for one or more other vehicles in a vicinity of a host automobile vehicle; calculating a first heuristic based on a uniformity test; calculating a second heuristic based on a vehicle speed of the one or more other vehicles; combining the first heuristic and the second heuristic using a weighted sum; determining an uncertainty mask applying the combined first heuristic and the second heuristic and a heuristic threshold; and applying the uncertainty mask to identify a velocity correction for use by the host automobile vehicle.

The present disclosure relates to a robot provided in a vehicle capable of performing a function related to the vehicle. The robot includes a body, a head positioned above the body, an actuator configured to apply an external force to allow the head to move relative to the body, a camera disposed on the head to capture an image, a communication unit configured to perform communications with one or more devices provided in the vehicle, and a processor configured to control the actuator so that the camera is directed toward an inside or outside of the vehicle based on information received via the communication unit.