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.

A vehicle driving assistance apparatus predicts (i) a first consumed energy amount corresponding to a consumed energy amount consumed by a driving apparatus of an own vehicle when executing a first following control and (ii) a second consumed energy amount corresponding to the consumed energy amount consumed by the driving apparatus of the own vehicle when executing the second following control. The apparatus executes the second following control when the second consumed energy amount is smaller than the first consumed energy amount. On the other hand, the apparatus executes the first following control when the second consumed energy amount is equal to or greater than the first consumed energy amount.

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 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.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

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.

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.

A braking control apparatus to be installed an electric vehicle includes an acceleration and deceleration operation member, a controller, and a recognizer. The acceleration and deceleration operation member receives an acceleration request in accordance with an operation amount in a first direction from a neutral position, and receive a deceleration request in accordance with an operation amount in a second direction from the neutral position. The controller controls an amount of power regenerated by a rotary electric machine driven by wheels in accordance with the operation amount in the second direction. The recognizer recognizes a preceding vehicle traveling ahead of the electric vehicle. Upon detection of the preceding vehicle at a relative distance from the electric vehicle that is equal to or less than a threshold, the controller performs braking suppression control to decrease the amount of power regenerated in accordance with the operation amount in the second direction.

A collision avoidance system for a work machine includes at least one sensor configured to generate a signal indicative of a presence of at least one obstacle in a surrounding area of the work machine. The collision avoidance system also includes a controller communicably coupled with the sensor. The controller is configured to receive the signal indicative of the presence of the obstacle in the surrounding area of the work machine from the sensor. The controller is also configured to determine a position of the obstacle relative to the work machine based on the signal received from the sensor. The controller is further configured to generate a control signal to prevent a movement of the work machine, halt the movement of the work machine, or reduce a velocity of the work machine based on the determination of the position of the obstacle.

A collision avoidance system for a work machine includes at least one sensor configured to generate a signal indicative of a presence of at least one obstacle in a surrounding area of the work machine, at least one imaging device, a display device, and a controller. The controller receives the signal indicative of the presence of the obstacle and determines a position of the obstacle relative to the work machine based on the signal received from the sensor. The controller generates a first control signal to prevent a movement of the work machine, halt the movement of the work machine, or reduce a velocity of the work machine based on the determination of the position of the obstacle. The controller generates a second control signal for displaying an updated display view that provides a visual indication of the presence of the obstacle in the surrounding area of the work machine.