A vehicle environment detection system (40) in an ego vehicle (1), including a sensor arrangement (4) and a main control unit (8) is arranged to detect and track at least one oncoming vehicle (9), and to determine whether the ego vehicle (1) has entered a curve (17). The main control unit (8) is arranged to determine a common curve (12) with a radius (R), along which common curve (12) the ego vehicle (1) is assumed to travel,determine a measured oncome direction (13, 13) of the oncoming vehicle (9) on the common curve (16), corresponding to an outcome angle (.sub.track), determine a difference angle () between the measured oncome direction (13, 13) and an oncome direction (13) corresponding to if the oncoming vehicle (9) would be moving along the common curve (12), compare the difference angle () with a threshold angle (.sub.max), and to determine that the oncoming vehicle (9) is crossing if the difference angle () exceeds the threshold angle (.sub.max).

A moving object control apparatus activates a safety device that avoids a collision between a moving object and an object present ahead of the moving object in its moving direction or reduces damage from a collision when the moving object is likely to collide with the object. The moving object control apparatus includes a restricting unit that restricts activation of the safety device based on angle information including at least one of an angle of a moving direction of the object relative to the moving direction of the moving object and a change in angle per time.

An off-road dump truck includes a vehicle body, a peripheral recognition device, and an obstacle discrimination device. The peripheral recognition device detects obstacle candidates in front of the vehicle body. The obstacle discrimination device classifies the obstacle candidates, which were detected by the peripheral recognition device, into obstacles and non-obstacles and outputs, as obstacles, the obstacle candidates classified as obstacles. The obstacle discrimination device includes a travel state determination section, a distance filter section, and a reflection intensity filter section. The travel state determination section determines whether each obstacle candidate is a moving object or a stationary object. The distance filter section compares a distance, where the stationary object was first detected, with a distance threshold. The reflection intensity filter section calculates statistical information based on reflection intensity information on the obstacle candidate, and based on a comparison result of the statistical information with a threshold, classifies the obstacle candidate.

A driving supporter includes an environment obtainer and a support controller configured to control a supporting device to perform driving support such that an own vehicle travels along a target traveling line. The environment obtainer includes a relative-positional-relationship obtainer configured to obtain a relative positional relationship between the own vehicle and an object detected based on object information obtained by an object-information obtainer. The support controller includes an offset-target-traveling-line setter configured to set, when the relative positional relationship is a specific relationship in which it is estimated that a steering operation in a direction in which the own vehicle avoids the object is to be performed, the target traveling line to an offset position that is shifted in a direction identical to a direction of a steering operation from the target traveling line located when the relative positional relationship is not the specific relationship.

An automotive vehicle includes at least one actuator configured to control vehicle steering, shifting, acceleration, or braking, at least one sensor configured to provide signals indicative of a location and velocity of an object external to the vehicle relative to the vehicle, and at least one controller in communication with the at least one actuator and the at least one sensor. The at least one controller is configured to, in response to a signal from the at least one sensor indicating that a relative velocity between a rearward object and the vehicle exceeds a first threshold and a distance between the rearward object and the vehicle falls below a second threshold, automatically control the at least one actuator to maneuver the vehicle from a first lateral position with respect to a current driving lane to a second lateral position with respect to the current driving lane.

The invention relates to a vehicle control device adapted to be mounted in a host vehicle (H), the vehicle control device comprising an environment monitoring unit adapted and configured to monitor the environment of the host vehicle (H) and to provide corresponding environment monitoring data, and a lane change request generating unit adapted and configured to determine based upon the environment monitoring data whether the generation of a request for a lane change of the host vehicle (H) from a current lane (CL) to a lower-ranking lane (RL) is to be initiated (arrow A6a) or is to be suppressed (arrow A6b), if the environment monitoring data indicate that at least one succeeding vehicle (S) driving in the same lane as the host vehicle (H) approaches the host vehicle from behind at a speed higher than the speed of the host vehicle (H).

An autonomous vehicle and method are provided. The autonomous vehicle includes a memory to store a three-dimensional (3D) rendering of an environment surrounding the autonomous vehicle; one or more sensors of the autonomous vehicle to collect real-time data describing the environment surrounding the autonomous vehicle; and a processor to (i) revise the 3D rendering according to the real-time data, and (ii) navigate the autonomous vehicle according to the revised 3D rendering.

A vehicle for collision avoidance assistance may include: a camera to obtain an image of an object behind the vehicle, and obtain coordinates of a feature point spaced apart from the object, a controller, and a notification unit to output a collision warning. In particular, the controller sets an estimated value of a vector indicating a state of the vehicle based on coordinates of the vehicle, coordinates of the object, and the coordinates of the feature point, determine a predicted value of the estimated value of the vector based on a result of differentiating the estimated value of the vector with respect to time, correct the predicted value, determine the estimated value of the vector, and calculate a distance between the camera and the object to transmit a collision warning signal to the notification unit.

Embodiments are provided for methods and systems implementing the methods for maneuvering a driving apparatus. The methods may include detecting a first object and a second object. The methods may include detecting distance and/or angle information of the first and/or second objects. The method may further include detecting instruction and/or information provided by the first and/or second objects. The methods may include making a maneuver judgment to maneuver the driving apparatus based on the first and/or second objects such that the driving apparatus may avoid the first and/or second objects, and/or may follow or utilize instruction and/or information provided by the first and/or second objects.

A cruise control apparatus controls travel of an own vehicle based on a predicted course which is a future travel course of the own vehicle. The cruise control apparatus includes a first predicted course calculating unit and a second predicted course calculating unit, as a plurality of course prediction means for calculating a predicted course, and is provided with a course change determination unit for determining whether a change in the course is to be performed and a prediction switching unit which performs switching to enable one of a first predicted course calculated by the first predicted course calculating unit and a second predicted course calculated by the second predicted course calculation unit, the switching being based on a result of determination made by the course change determination unit as to whether a change in the course is to be performed.