A driving support ECU performs a following-travel steering control. The driving support ECU selects an other vehicle which is present on a traveling course of the own vehicle as a target candidate vehicle. When a specific condition is satisfied, the driving support ECU determines a preceding vehicle traveling on a traveling trajectory which has been generated up to a present time point as a following-travel steering target vehicle. When the specific condition is not satisfied, the driving support ECU determines the target candidate vehicle which has been selected in the present calculation timing as the following-travel steering target vehicle.

Disclosed is a method and apparatus for managing a driving plan of an autonomous vehicle. The method may include obtaining observations of a neighboring vehicle using one or more sensors of the autonomous vehicle. The method may also include classifying one or more behavioral driving characteristics of the neighboring vehicle based on the observations. Furthermore, the method may include updating the driving plan based on a classification of the one or more behavioral driving characteristics of the neighboring vehicle, and controlling one or more operations of the autonomous vehicle based on the updated driving plan.

A driving support ECU performs an inter-vehicle-distance control and a following-travel steering control. When an inter-vehicle-distance target vehicle and a following-travel steering target vehicle are the same specific other vehicle as each other, and there is a potential cutting-in vehicle between an own vehicle and the specific other vehicle, the driving support ECU newly specifies the potential cutting-in vehicle as the inter-vehicle-distance target vehicle at a first time point in a cutting-in period and newly specifies the potential cutting-in vehicle as the following-travel steering target vehicle at a second time point in the cutting-in period.

Methods and systems are disclosed for vehicle cruise control smoothness adaptation. An example vehicle includes a GPS receiver for receiving expected road incline data, a camera for determining a half lane width position, and a radar for determining two respective leading vehicle angles of arrival. The vehicle also includes a processor for determining an actual road incline by filtering the expected road incline, half lane width position, and leading vehicle angles of arrival. And the processor is further for modifying a cruise control system based on the actual road incline.

A driving assistance apparatus includes a controller programmed to perform a deceleration assistance process of assisting in decelerating a vehicle before the vehicle arrives at a deceleration object, and to control a display apparatus to display, in a first display area, first notification information for notifying an occupant of the vehicle of the deceleration object that is a target for the deceleration assistance process. When a first object and a second object that is different from the first object are both detected as the deceleration object and the second object is the target for the deceleration assistance process but the first object is not the target for the deceleration assistance process, the controller is programmed to control the display apparatus to display, in a second display area, second notification information for notifying the occupant of the first object, the second display area is different from the first display area.

A method for operating a compactor on a compressible surface includes: moving the compactor on the compressible surface; receiving an operating speed of the compactor; determining whether an obstacle is present in a path of the compactor; and changing the operating speed to a creep speed if the obstacle is in the path of the compactor. The creep speed is sufficient to prevent the compactor from forming dips in the compressible surface.

TABLE-US-00001 ELEMENT NUMBER DESCRIPTION 100 compactor 102 cab 103 drive system 104 drums 105 surface 106 temperature sensor 107 path 108 speed sensor 110 controller 112 GPS device 114 perception system 115 control lever 120 processor 122 memory 124 data bus 126 user interface 128 communications interface 129 autonomous path planning system 130 remote system 132 work area 134 operating system (OS) 136 utilities 138 creep routine 140 sensor interfaces 144 control logic module 146 settings module

In an autonomous traveling apparatus, a normal traveling area and a deceleration area are set for a monitoring area in an area setting unit. A speed control unit limits a traveling speed of an apparatus main body on the basis of the monitoring area set in the area setting unit and a distance from the apparatus main body to an obstacle within the monitoring area if the obstacle present within the monitoring area is detected. If the obstacle is a movable body, an area change unit changes the deceleration area within the monitoring area that is set in the area setting unit to a deceleration area for movable body. This configuration makes it possible to support even a case where an obstacle is a movable body, in limiting the traveling speed in response to obstacle detection.

Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data is obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques are employed such that the autonomous and semi-autonomous control of a vehicle changes between lane follow and vehicle follow modes. Further, a vehicle may determine whether to continue to follow a vehicle after the followed vehicle moves in relation to the following vehicle.

Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.

An image processing system includes: an image acquiring unit that acquires an image picked up by a camera, the camera being provided in a vehicle; and a quality changing unit that performs a quality changing process of decreasing a quality of the image to equal to or lower than a predetermined standard, based on at least one of a vehicle position at a time when the image is picked up, a vehicle position at a time when the image is output to an external device or a display device, and requestor information that indicates a requestor of an output request of the image.