A smart cruise control system includes a controller communicatively connected to a first sensor obtaining front image data and a second sensor obtaining front radar data, wherein the controller is configured to recognize a front vehicle based on the front image data and the front radar data, and in response to the front vehicle being not recognized in the front radar data and the front vehicle being recognized in the front image data, control the vehicle so that the vehicle is not accelerated even if the distance between the vehicle and the front vehicle recognized in the front image data is greater than the preset distance.

There is provided a motorcycle-drive assistance apparatus that makes rapid deceleration by an engine brake possible so that braking control unintended by a rider can be avoided. The motorcycle-drive assistance apparatus is configured in such a way that a deceleration-start inter-vehicle distance calculation unit calculates a deceleration-start inter-vehicle distance, by use of an acceleration value read from an engine-brake acceleration value storage unit, based on an own-vehicle speed calculated by an own-vehicle speed calculation unit and a road-surface gradient angle calculated by a road-surface gradient angle calculation unit and in such a way that when the inter-vehicle distance between an own vehicle and another vehicle, detected by an object detection unit, becomes smaller than the calculated deceleration-start inter-vehicle distance, deceleration of the own vehicle through the engine brake is started.

Improved control of cruise control for a vehicle, in particular an automated activation of cruise control. For this purpose, the speed of the vehicle is monitored. If the speed of the vehicle and/or a distance between the vehicle and a further vehicle in front of the vehicle is within a predetermined range for a specific period of time it is indicated to a user that cruise control can be activated. Accordingly, cruise control can be automatically activated after providing the indication to the user, or a user may respond to this indication by providing a specific activity such as a release of the acceleration pedal.

A vehicle includes: a capturer configured to obtain height information of a preceding vehicle; a sensor configured to obtain at least one of position information or speed information of the preceding vehicle and a leading vehicle; and a controller configured to determine a first distance between the preceding vehicle and a subject vehicle, to determine a second distance between the preceding vehicle and the leading vehicle, to determine an acceleration of the preceding vehicle based on a relative speed and a relative distance of the preceding vehicle and the leading vehicle, and to control at least one of braking or steering of the subject vehicle when the second distance is less than or equal to a collision prediction distance between the preceding vehicle and the leading vehicle and the acceleration of the preceding vehicle is less than a predetermined value.

In one embodiment, a method of adjusting a speed limit of an ADV includes the operations of tracking objects within a field of view of the ADV; and identifying a set of stable objects from the objects tracked by the ADV based on a set of requirements. The method further includes the operations of identifying a subset of objects from the set of stable objects, the subset of objects having longest distances to the ADV; calculating a detection distance by averaging distances from the subset of stable obstacles to the ADV; and adjusting the speed limit of the ADV based on the detection distance using a predetermined algorithm.

The present disclosure provides a method and a device for controlling a vehicle. The vehicle is in a vehicle queue, the vehicle queue includes n vehicles {vehicle 0, vehicle 1, . . . , vehicle n−1} arranged in order along a traveling direction, the method is performed by a computing device of the vehicle i, i is from 1 to n−1. A vehicle-following subsystem model is established based on the relative speed and the relative vehicle distance error between the vehicle i and a vehicle i−1, and the acceleration of the vehicle i, a state trajectory of the vehicle-following subsystem model on a Δv-ΔR plane is determined, a plurality of division graphs of the vehicle i−1 in a plurality of travelling phases are combined to obtain a switching control graph for the vehicle i, and the travelling phase of the vehicle i is adjusted.

In the case an external environment recognition unit recognizes that an obstacle that hinders traveling of an oncoming vehicle exists in an oncoming lane at a more forward position in a direction of progress than a host vehicle, and also recognizes that a preceding vehicle exists at a more forward position in the direction of progress than the obstacle, and further, in the case that a behavior determination unit determines that the preceding vehicle stops within a predetermined distance (first predetermined distance) from the obstacle, the operation determination unit causes the host vehicle to stop in front of the obstacle.

The present disclosure relates to systems and methods for host vehicle navigation. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a first flow of traffic and a second flow of traffic; determine a presence of at least one navigational state characteristic indicative of an alternating merging of the first flow of traffic and the second flow of traffic into a merged lane; cause at least a first navigational change to allow one target vehicle from the first flow of traffic to proceed ahead of the host vehicle; and cause at least a second navigational change to cause the host vehicle to follow the target vehicle into the merged lane.

An ECU as an object detection device and a radar device are mounted on a vehicle. The radar device acquires front-view images containing a detection-target object such as a preceding vehicle present within a predetermined area around the vehicle. The radar device recognizes the detection-target object in time series based on the acquired front-view images. The ECU realizes a preceding vehicle selection part, an irregular-detection detecting part and an association processing part. The selection part selects the object when a relationship between the object and the vehicle satisfies a predetermined condition. The detecting part detects occurrence of an irregular detection when a first object selected as the preceding vehicle and a second object not selected as the preceding vehicle are detected based on the object. The association processing part performs an association process of associating history of the first object to the second object when the irregular detection has occurred.

Provided are a travel control device that enhance safety while enabling smooth overtaking of a vehicle from tracking travel. This travel control device is equipped with a direction indication determination unit, a travel control unit that performs control to switch travel of the vehicle between tracking travel whereby the vehicle is made to travel by tracking the preceding vehicle and propulsion travel whereby the vehicle is made to travel so as to match the speed of the vehicle to a target speed, and an inter-vehicle distance detection unit that detects the inter-vehicle distance in tracking travel between the vehicle and the preceding vehicle. In cases in which, during tracking travel, it is determined that direction indication of vehicle has been activated and the inter-vehicle distance exceeds a prescribed distance, the travel control unit switches travel of the vehicle from tracking travel to propulsion travel.