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.

The present invention obtains a control system, a controller, and a control method capable of appropriately controlling body behavior of plural motorcycles that travel in group.

In a control system (1), a controller (12), and a control method according to the present invention, in plural motorcycles (10) to each of which an environment sensor (11) and the controller (12) are mounted and in each of which a control mode for controlling body behavior is executed by the controller (12) on the basis of output of the environment sensor (11), a first controller that is mounted to a first motorcycle of the plural motorcycles (10) transmits acquired information that is acquired during execution of the control mode to a second controller that is mounted to a second motorcycle other than the first motorcycle of the plural motorcycles (10), and the second controller receives the acquired information and executes the control mode on the basis of the acquired information.

The present invention obtains a control system, a controller, and a control method capable of appropriately controlling body behavior of plural motorcycles that travel in group.

In a control system (1), a controller (12), and a control method according to the present invention, in plural motorcycles (10) to each of which an environment sensor (11) and the controller (12) are mounted and in each of which a control mode for controlling body behavior is executed by the controller (12) on the basis of output of the environment sensor (11), a first controller that is mounted to a first motorcycle of the plural motorcycles (10) transmits acquired information that is acquired during execution of the control mode to a second controller that is mounted to a second motorcycle other than the first motorcycle of the plural motorcycles (10), and the second controller receives the acquired information and executes the control mode on the basis of the acquired information.

A changing operation assisting apparatus includes a driving assistance control section, an operation section, and an information providing section. The driving assistance control section stores set states regarding driving assistance functions of a vehicle and provides the functions in accordance with the set sates. The set state includes a request state of the function. The operation section is used for changing the set state. The information providing section provides information regarding the set state to a driver of the vehicle. Further, the driving assistance control section executes a setting change confirmation processing upon satisfaction of a specific condition. The setting change confirmation processing is a process of providing confirmation information to confirm whether or not to change the request state of the function, and changing the request state of the function when the driver performs an approving operation in accordance with the confirmation information.

A changing operation assisting apparatus includes a driving assistance control section, an operation section, and an information providing section. The driving assistance control section stores set states regarding driving assistance functions of a vehicle and provides the functions in accordance with the set sates. The set state includes a request state of the function. The operation section is used for changing the set state. The information providing section provides information regarding the set state to a driver of the vehicle. Further, the driving assistance control section executes a setting change confirmation processing upon satisfaction of a specific condition. The setting change confirmation processing is a process of providing confirmation information to confirm whether or not to change the request state of the function, and changing the request state of the function when the driver performs an approving operation in accordance with the confirmation information.

This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.

A personalized adaptive cruise control (P-ACC) system and associated algorithm are disclosed for determining a driver's preferred following gap in relation to vehicle speed based on periods of steady-state operation of a vehicle. While the P-ACC system is activated, vehicle transition states initiated by driver manual interventions such as takeover or overwrite events are used to identify subsequent periods of vehicle steady-state operation. Vehicle dynamics data captured during periods of steady-state operation is stored as steady-state data, which is then used to train a machine learning model to learn the driver's preferred following gap. This learned relationship is fed into second-order vehicle dynamics to determine a target acceleration for achieving the desired following gap while the P-ACC system is activated. Upon achieving the desired following gap, the vehicle speed may be held constant to maintain the following gap unless a change in lead vehicle speed necessitates updating the following gap.

A personalized adaptive cruise control (P-ACC) system and associated algorithm are disclosed for determining a driver's preferred following gap in relation to vehicle speed based on periods of steady-state operation of a vehicle. While the P-ACC system is activated, vehicle transition states initiated by driver manual interventions such as takeover or overwrite events are used to identify subsequent periods of vehicle steady-state operation. Vehicle dynamics data captured during periods of steady-state operation is stored as steady-state data, which is then used to train a machine learning model to learn the driver's preferred following gap. This learned relationship is fed into second-order vehicle dynamics to determine a target acceleration for achieving the desired following gap while the P-ACC system is activated. Upon achieving the desired following gap, the vehicle speed may be held constant to maintain the following gap unless a change in lead vehicle speed necessitates updating the following gap.