A control method for improving fuel efficiency in an adaptive cruise control system includes: setting a target velocity profile based on a current velocity and position when a vehicle is driven by the adaptive cruise control system; determining, by the controller, whether the preceding vehicle exists while driving by the target velocity profile; comparing, by the controller, a minimum distance for preventing a collision between the preceding vehicle and the following vehicle in a case of applying the target velocity profile with a first distance between the preceding vehicle and the following vehicle when the preceding vehicle exists; and performing, by the controller, fuel efficiency driving of the following vehicle when the minimum distance is larger than the first distance and performing driving of the following vehicle according to the target velocity profile when the minimum distance is smaller than the first distance.

Disclosed is a vehicle that may include a frame to support a power system, such as an engine, and one or more surface supports, such as wheels, to support the frame. The engine may include an internal combustion engine and a fuel supply system therefore. The engine may provide power to drive the wheels.

According to one example, a system for control of a movement of a working vehicle within a work area is disclosed. The system can optionally include a steering system configured to direct the movement of the working vehicle, an object detection system, as speed sensor, and a controller. The object detection system can have one or more sensors configured to detect an object within the work area. The speed sensor can be configured to measure a speed of the working vehicle over a surface within the work area. The controller can be communicatively coupled to the steering system, the object detection system and the speed sensor. The controller can be configured to control the speed of the working vehicle based upon a steering angle of the working vehicle.

A traffic light detection system for a vehicle is provided. The system may include at least one processing device programmed to receive, from at least one image capture device, a plurality of images representative of an area forward of the vehicle, the area including a traffic light fixture having at least one traffic light. The at least one processing device may also be programmed to analyze at least one of the plurality of images to determine a status of the at least one traffic light, and determine an estimated amount of time until the vehicle will reach an intersection associated with the traffic light fixture. The at least one processing device may further be programmed to cause a system response based on the status of at least one traffic light and the estimated amount of time until the vehicle will reach the intersection.

At least one embodiment disclosed herein includes generating a three-dimensional graphical output that includes a three-dimensional representation of a video of an area external to a vehicle, and displaying the three-dimensional graphical output on a three-dimensional display disposed within a vehicle.

A vehicle traveling support control apparatus includes a traveling environment determining portion that determines a traveling environment of a vehicle, a support device determining portion that determines a serviceable traveling support device from one or more traveling support devices mounted in the vehicle in accordance with the traveling environment determined by the traveling environment determining portion, a presentation portion that presents support guidance of the serviceable traveling support device, and a control portion that controls the presentation portion to present the support guidance of the serviceable traveling support device based on use frequency of the serviceable traveling support device determined by the support device determining portion.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: receive the plurality of images via the data interface; determine from the plurality of images a current lane of travel from among a plurality of available travel lanes; and cause the vehicle to change lanes if the current lane of travel is not the same as a predetermined default travel lane.

Provided is a vehicle travel control apparatus, mounted on a host vehicle, which performs travel control of the host vehicle on the basis of a positional relationship between the host vehicle and a preceding vehicle traveling ahead of the host vehicle, the vehicle travel control apparatus including a millimeter wave sensor that acquires target data of the preceding vehicle by receiving a reflected wave of an emitted electromagnetic wave; and an ECU that determines the presence or absence of a preceding vehicle traveling directly ahead of the host vehicle on the basis of the target data acquired by the millimeter wave sensor and that performs acceleration and deceleration control of the host vehicle on the basis of the presence or absence of the preceding vehicle. The ECU performs the acceleration and deceleration control of the host vehicle so that the acceleration or deceleration is suppressed in a case of the occurrence of target misidentification in which the millimeter wave sensor acquires a plurality of pieces of target data with respect to the same object.