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.

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 device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

A vehicle external environment recognition apparatus to be applied to a vehicle includes a position calculation processor, a three-dimensional object determination processor, an identification object identifying processor, and a vehicle tracking processor. The position calculation processor calculates three-dimensional positions of respective blocks in a captured image. The three-dimensional object determination processor groups the blocks to put any two or more of the blocks that have the three-dimensional positions differing from each other within a predetermined range in a group and thereby determines three-dimensional objects. The identification object identifying processor identifies a preceding vehicle relative to the vehicle and a sidewall on the basis of the three-dimensional objects. The vehicle tracking processor estimates a future position of the preceding vehicle to track the preceding vehicle. The vehicle tracking processor determines whether or not the preceding vehicle identified by the identification object identifying processor corresponds to a portion of the sidewall.

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.

A cruise control method to control a driven vehicle includes: determining projected speeds of the driven vehicle at each of the predetermined-upcoming locations; determining a plurality of following times at each of the predetermined-upcoming locations of the driven vehicle and the projected speeds of the followed vehicle; determining whether at least one of the plurality of following times is less than the predetermined-minimum time threshold; and in response to determining that at least one plurality of following times is less than the predetermined-minimum time threshold, commanding, by the controller, the propulsion system of the driven vehicle to decrease the commanded axle torque by a torque adjustment in order to prevent each of the plurality of following times at each of the predetermined-upcoming locations from being less than the predetermined-minimum time threshold.

A computer includes a processor and a memory storing instructions executable by the processor to collect at least one set of data with a first Doppler sensor, each set of data including a radial distance, an azimuth angle and a range rate between the first Doppler sensor and a target, collect at least one set of data with a second Doppler sensor, determine that the collected sets of data include a first, second, and third set, determine respective radial components of a ground velocity of the target based on the first, second and third sets of data a position on a host vehicle of the respective Doppler sensor that collected the sets of data, and determine a linear velocity of the target and a yaw rate of the target based on the radial components of the ground velocity of the target.

A vehicle control apparatus capable of executing control to cause a vehicle to automatically follow a preceding vehicle, includes a determination unit configured to determine, based on internal information of the vehicle, whether to request an increase of a cruising speed of the preceding vehicle during automatic following to the preceding vehicle, and a request transmission unit configured to transmit an increase request for requesting to increase the cruising speed of the preceding vehicle in a case in which the determination unit determines to request the increase of the cruising speed.

An apparatus for controlling a transmission of a vehicle includes: a determination device that decides whether to perform a forward vehicle-based deceleration tracking control, based on information of the vehicle and a forward vehicle, when the vehicle starts to coast; a calculation device that calculates a target velocity and a target distance based on a position and a velocity of the forward vehicle, when the forward vehicle-based deceleration tracking control is decided to be performed; a gear position decision device that constructs deceleration profiles for respective gears and decides a final gear based on the target velocity and the target distance calculated; and a controller that controls the transmission based on the final gear.

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 one or more 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.