A computer-implemented method for controlling a vehicle system of a host vehicle merging with one or more remote vehicles, including receiving speed data transmitted from the one or more remote vehicles via a vehicular communication network and receiving position data of the one or more remote vehicles from the sensor system of the host vehicle that monitors an area around the host vehicle. Upon determining the one or more remote vehicles are in the area around the host vehicle based on the position data, determining a safe distance for merging into the lane based on a relative position of the host vehicle to the one or more remote vehicles. Further, controlling the vehicle system of the host vehicle according to an actual distance between the host vehicle and the one or more remote vehicles and the safe distance.

Example embodiments relate to a method for cut-in identification and classification. An example embodiment includes a obtaining operational data about one or more vehicles; based on the operational data, identifying the presence of one or more cut-ins within the operational data; extracting, from the operational data, cut-in data that depicts one or more of the cut-ins identified within the operational data; and, based on the extracted cut-in data, training a model for controlling an autonomous vehicle. Identifying the presence of a given cut-in includes: determining that at least one vertex of a bounding box surrounding a vehicle was located more than a threshold distance within a lane being navigated by a given vehicle; and determining that the ability of the given vehicle to maintain its course and speed was impeded by the presence of the particular additional vehicle within the lane.

A method for controlling a hybrid drive of a vehicle includes detecting a traffic and/or street situation ahead of the vehicle, and based on the detected situation, determining an upcoming increase of a performance requirement to be expected from the hybrid drive and increasing a withdrawal rate of an electrical energy source of the hybrid drive. This increase occurs before the performance requirement is realized. The performance requirement may be realized according to the increase of the withdrawal rate, e.g., in conformity with a performance requirement which may be entered via an interface, for example an accelerator pedal.

A drive assist apparatus includes: an avoidance target recognition portion that recognizes an avoidance target which is a target with which a host vehicle should avoid coming into contact when traveling on a road; a steering control portion that assists steering of the host vehicle at a time of the host vehicle and the avoidance target passing each other; a margin detection portion that detects a margin indicating a distance between the host vehicle and the avoidance target at the time of passing each other; and a level change portion that changes a steering assistance degree of the host vehicle by the steering control portion at subsequent times of passing each other based on the margin detected by the margin detection portion.

A method according to an exemplary aspect of the present disclosure includes, among other things, controlling an electrified vehicle by adjusting a deceleration rate based on a closing rate of the electrified vehicle to an oncoming object.

A vehicle control device includes a standard inter-vehicle distance setting module that sets a standard inter-vehicle distance in accordance with a velocity of a subject vehicle that is equipped with the vehicle control device, an inter-vehicle distance measuring module that measures an inter-vehicle distance between the subject vehicle and a preceding vehicle, an effectiveness ratio setting module that sets an effectiveness ratio on the basis of an inter-vehicle distance difference obtained by subtracting the standard inter-vehicle distance from the inter-vehicle distance, the effectiveness ratio indicating a proportion of an amount of an accelerator operation by a driver to be reflected on a drive control, and a drive control module that performs the drive control on the subject vehicle on the basis of the effectiveness ratio.

Various systems and methods for controlling a vehicle using driving policies are described herein. A system for controlling a vehicle using driving policies includes a memory device; and a processor subsystem to access instructions on the memory device that cause the processor subsystem to: operate a host vehicle using a driving policy from a policy repository, the host vehicle operating in a lane on a first road, the driving policy governed by a safety model; detect a second vehicle, the second vehicle operating in a second lane; determine whether the second vehicle is an oncoming vehicle or an intersecting vehicle, the oncoming vehicle operating on the first road with the first and second lanes in adjacent bidirectional arrangement, and the intersecting vehicle operating on a second road that intersects the first road; and initiate a vehicle maneuver of the host vehicle to reduce or avoid a collision with the second vehicle, based on the safety model, the vehicle maneuver performed based on whether the second vehicle is an oncoming vehicle or an intersecting vehicle.

A method for adjusting a safety margin threshold of one or more driver support functions of a vehicle, to be suitable for a driving zone in which the vehicle is—or is to be—positioned comprises determining a geographical position of the vehicle, determining a driving zone associated with the vehicle position, which driving zone is selected from one or more pre-defined geographical driving zones, deriving previous statistical driving behaviour data indicative of one or more statistical driving style safety indicators associated with the driving zone, and adjusting a safety margin threshold of at least a first driver support function of the vehicle, based on the one or more statistical driving style safety indicators. The disclosure also relates to a driver support threshold adapting system in accordance with the foregoing, and a vehicle at least partly comprising such a driver support threshold adapting system.

Disclosed are a short cut-in target identification apparatus and an identification method thereof. The short cut-in target identification apparatus includes an occupancy distance map (ODM) information calculator configured to calculate ODM information based on subject vehicle and surrounding object information, a track information calculator configured to calculate track information based on the subject vehicle and surrounding object information, and a short cut-in target selector configured to select a short cut-in target based on the ODM information and the track information.

A first vehicle includes: steering, brakes, memory, sensors, and processor(s) configured to: determine, with the sensors: the first vehicle's acceleration, a second vehicle's acceleration; compute a theoretical collision velocity (TCV) between the first vehicle and the second vehicle based on the accelerations; apply a function or generate a command based on the TCV and a selected coefficient of kinetic friction (COF).