A control system for a work vehicle includes an acceleration detection device and a controller. The acceleration detection device detects an acceleration of the work vehicle. The controller determines whether the acceleration is greater than a first threshold and reduces the a vehicle speed when the acceleration continues to be equal to or greater than the first threshold over a predetermined first determination time period.

A control device of a vehicle comprises: a driving plan generating part 90 configured to generate a driving plan in automated driving of the host vehicle; a package extracting part 91 configured to extract driving assistance packages packaging permissions for a plurality of driving assistance operations based on at least one of the surrounding environment information, the vehicle information, and the driver information; a package proposing part 92 configured to propose driving assistance packages to the driver of the host vehicle based on the driving assistance packages extracted by the package extracting part and the driving plan; and an automated driving executing part 93 configured to perform driving assistance operations permitted in a driving assistance package proposed by the package proposing part and approved by the driver of the host 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.

A braking force control system includes: a brake device and at least one electronic control unit. The brake device is configured to generate a braking force commensurate with a brake operation amount of a driver. At least one electronic control unit is configured to execute vehicle speed control for controlling a speed of a vehicle to a target speed by controlling a driving force and a braking force. The electronic control unit is configured to cause the brake device to generate an actual braking force corresponding to a total value of an additional braking force and an operational braking force when brake operation is performed during execution of the vehicle speed control. The additional braking force corresponds to a controlled braking force required by the vehicle speed control. The operational braking force is required through the brake operation.

Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

Systems and methods are provided for predicting blind spot incursions for a host vehicle. In one implementation, a navigation system for a host vehicle may comprise a processor. The processor may be programmed to receive, from an image capture device located on a rear of the host vehicle, at least one image representative of an environment of the host vehicle. The processor may be programmed to analyze the at least one image to identify an object in the environment of the host vehicle and to determine kinematic information associated with the object. The processor may further be programmed to predict, based on the kinematic information, that the object will travel in a region outside of a field of view of the image capture device and perform a control action based on the prediction.

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.

A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable causes of the accident types. In response to determining accident types and causes/probable causes of the accident types over the travel route, adjustments can be made to the driving actions planned for the autonomous vehicle over the travel route. In addition, in an embodiment, historical accident information can be used to analyze available travel routes and select a route which presents less risk of accident than others.

A vehicle speed controlling apparatus comprising a driving mode selector configured to receive a selection of a periodic-speed driving mode from a user, a driving strategy control unit including a speed profile generator configured to generate a periodic-speed driving speed profile with a period, an amplitude, and an average speed, and a driving assistance unit configured to output a required torque for a driving motor to follow the periodic-speed driving speed profile.

A cruise control method for a hybrid vehicle is provided. The method includes detecting a preceding vehicle and estimating the speed of the preceding vehicle from the information input from a preceding vehicle detecting unit in the on state of a cruise mode and a PnG mode. An upper limit target vehicle speed and a lower limit target vehicle speed are determined from the estimated speed of the preceding vehicle. The driving source of the vehicle is operated to alternately repeat the acceleration (pulse phase) and deceleration (glide phase) of the vehicle between the determined upper limit target vehicle speed and lower limit target vehicle speed.