An obstacle in a periphery of the vehicle is detected using a peripheral monitoring sensor for monitoring the periphery of the vehicle. It is sequentially determined whether an avoidance of the obstacle is necessary, according to a route of the vehicle. A warning device is controlled to issue a warning when determining that the avoidance of the obstacle is necessary. In a case where determining that the avoidance of the obstacle is unnecessary after starting the warning, the warning device is controlled to continue issuing the warning when an obstacle distance is less than a predetermined threshold value set in advance.

An apparatus for controlling a vehicle includes: a sensor that obtains vehicle surrounding environment information and vehicle driving information; and a controller that determines whether an engagement of an Electronic Parking Brake (EPB) is possible based on the vehicle driving information, performs control for preventing a slip based on the vehicle surrounding environment information upon determining that the engagement of the EPB is impossible, calculates a steering angle for preventing the slip, transmits the steering angle to a portable terminal, receives a steering control command from the portable terminal, and controls steering based on the received steering control command.

An executing unit is configured to execute at least one of control of operating performance of a plurality of sensors which monitor different regions around a vehicle and predetermined processing for each of a plurality of output values output from the plurality of sensors. A specifying unit is configured to specify a direction of the vehicle with respect to a reference direction set on the basis of a road around the vehicle. A setting unit is configured to set priorities of the plurality of sensors in accordance with the direction of the vehicle specified by the specifying unit. The executing unit changes at least one of ratios of the operating performance of the plurality of sensors and ratios of amounts of processing performed for the plurality of output values on the basis of the priorities.

Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

A stability control system identifies an actionable condition, such as instability, in an off-road mobile machine, based upon an in-rubber tire sensor. A remedial action is identified, and a control signal is generated to control the mobile machine to take the remedial action.

A system of the present disclosure includes a coarse observation sensor configured to observe a range around a vehicle, high-accuracy observation object identification means configured to identify a high-accuracy observation object that is an object detected by the coarse observation sensor in the observation range and is an object to be observed at a higher resolution, object presence area prediction means configured to predict a range of an object future presence area where the high-accuracy observation object may be present after the identification, a fine observation sensor configured to observe the range of the object future presence area at the higher resolution, and object information output means configured to output information on the high-accuracy observation object observed by the fine observation sensor.

The present invention relates to a control device and method of a hybrid electric vehicle (HEV) to which Downhill Brake Control (DBC) is applied, and determines whether to perform a braking control of the HEV, by comparing a current vehicle speed of the HEV with a target vehicle speed of the HEV upon operating a DBC function, calculates a braking demand amount based on a difference between the current vehicle speed and the target vehicle speed when the braking control is determined, and controls a vehicle speed of the HEV by determining whether to perform cooperative control of a regenerative braking and a brake hydraulic braking, based on the braking demand amount and a maximum regenerative braking possible amount.

A device detects a behavior of a straddle-type vehicle in a yaw direction and in a roll direction, determines whether a traveling state of the straddle-type vehicle is a first state or a second state closer to a straight traveling state than the first state, and estimates a turning radius of the straddle-type vehicle. In a case where it is determined that the traveling state is the first state, a turning radius is estimated by a first method based on a detection result of the behavior in the yaw direction. In a case where it is determined that the traveling state is the second state, the turning radius is estimated by a second method based on a detection result of the behavior in the roll direction.

An apparatus of determining an optimal velocity of a vehicle, may include an information receiving unit configured to receive and provide vehicle traveling information and traveling environment information which are state variables representing vehicle states required to determine a target velocity for optimizing vehicle fuel economy; and an optimal velocity determination unit configured to determine the target velocity in accordance with a vehicle traveling environment by use of a state variable and reward estimation model and a Q table having values according to the state variables and a control input, from the vehicle traveling information and the traveling environment information provided by the information receiving unit, and a method of determining an optimal velocity of a vehicle.

System, methods, and other embodiments described herein relate to improving controls in a device according to risk. In one embodiment, a method includes, in response to receiving sensor data about a surrounding environment of the device, identifying objects from the sensor data that are present in the surrounding environment. The method includes generating a control sequence for controlling the device according to a risk-sensitivity parameter to navigate toward a destination while considering risk associated with encountering the objects defined by the risk-sensitivity parameter. The method includes controlling the device according to the control sequence.