A vehicle controlling apparatus includes a setting unit and an acquiring unit. The setting unit is configured to set a target inter-vehicle distance. The acquiring unit is configured to acquire position information of a temporary stopping location on a traveling route on which an own vehicle travels. The setting unit is configured to, on a condition that the own vehicle travels to follow a preceding vehicle, and that the acquiring unit has acquired the position information of the temporary stopping location, make a setting change to make the target inter-vehicle distance greater than a normal setting value when a distance from the own vehicle to the temporary stopping location reaches a predetermined distance, and make a setting change to bring the target inter-vehicle distance closer to the normal setting value in accordance with the distance until the own vehicle reaches the temporary stopping location.

An autonomous driving device may include: a sensor configured to sense a surrounding object of an own vehicle, a controller configured to generate an autonomous driving path of the own vehicle based on movement data of the surrounding object sensed by the sensor unit, and a surrounding object analyzer configured to receive the movement data of the surrounding object from the controller and stochastically analyze an expected movement trajectory of the surrounding object. The controller may generate the autonomous driving path based on the expected movement trajectory of the surrounding object that is stochastically analyzed by the surrounding object analyzing unit.

Provided is An apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data, and configured to receive a map on which the host vehicle travels from a server, compare a speed limit included in the map with a speed limit included in the image data, and control a display of the host vehicle so as to display the speed limit based on the image data.

Provided and disclosed herein is a vehicle travel control device capable of improving fuel consumption performance of a host vehicle by, in response to receiving vehicle information indicating a deceleration cause has occurred ahead of the host vehicle, rapidly stopping or suppressing the generation of a driving force by the host vehicle.

A method for operating a vehicle configured for highly automated or autonomous driving involves adapting control of the driving mode to the weather conditions of a vehicle's environment. Moreover, control of the driving mode is adapted by reference control parameters if the weather conditions deviate from a specified criterion. For generating the reference control parameters, driving behaviors of a plurality of vehicles in the vehicle's environment, adjacent to the vehicle, are determined. From the determined driving behaviors, an average speed, an average distance, an average acceleration, and an average deceleration are determined and are taken into account when generating the reference control parameters.

System and methods are provided that contextually define interest index requirements for shared and autonomous vehicles. An interest index is computed based on detected contextual behavioral patterns of pedestrians such as the trajectory a candidate passenger is walking given a locational context. The use of the interest index allows users of shared vehicles to benefit from an enhanced user experience that seamlessly unlocks and/or provides access to features for autonomous vehicles based on the interest index.

According to one aspect, systems and techniques for lane selection may include receiving a current state of an ego vehicle and a traffic participant vehicle, and a goal position, projecting the ego vehicle and the traffic participant vehicle onto a graph network, where nodes of the graph network may be indicative of discretized space within an operating environment, determining a current node for the ego vehicle within the graph network, and determining a subsequent node for the ego vehicle based on identifying adjacent nodes which may be adjacent to the current node, calculating travel times associated with each of the adjacent nodes, calculating step costs associated with each of the adjacent nodes, calculating heuristic costs associated with each of the adjacent nodes, and predicting a position of the traffic participant vehicle.

Disclosed are an intersection driving control system and method for vehicles, the intersection driving control system for vehicles including a monitoring array configured to recognize and monitor peripheral vehicles driving proximate to a host vehicle, a pattern detector configured to detect reduction patterns of the peripheral vehicles in a longitudinal direction, and an intersection entry confirmer configured to confirm whether the host vehicle enters an intersection based on whether the longitudinal reduction patterns of the peripheral vehicles are similar to an intersection entry pattern.

The invention relates to a method for carrying out a driving maneuver for creating a gap in the traffic flow, which is multiple lanes wide, involving a first vehicle and a plurality of second vehicles. The first vehicle, which requests the gap in the traffic flow periodically sends corresponding request signals at least to a plurality of second vehicles. The second vehicles that intend to comply with the request send out corresponding signaling signals. As soon as a sufficient minimum number of second vehicles that intend to comply with the request can be determined, the second vehicles participating in the driving maneuver for creating the gap in the traffic flow are informed. The second vehicles participating in the driving maneuver agree on the beginning of the driving maneuver and mutually coordinate their trajectories. One of the second vehicles is designated as the maneuver leader and transmits at least one characteristic of the gap in the traffic flow to the first vehicle.

A method of operating an autonomous vehicle includes detecting, based on an input received from a sensor of an autonomous vehicle that is being navigated by an on-board computer system, an occurrence of a driving event, making a determination by the on-board computer system, upon the detecting the occurrence of the driving event, whether or how to alter the path planned by the on-board computer system according to a set of rules, and performing further navigation of the autonomous vehicle based on the determination until the driving event is resolved. The driving event may include a presence of an object in a shoulder area of the road. The driving event may include accumulation of more than a certain number of vehicles behind the autonomous vehicle. The driving event may include a slow vehicle ahead of the autonomous vehicle. The driving event may include a do-not-change-lane zone is within a threshold.