A vehicle includes a sensor provided to obtain first motion information which is motion state information of an object, a navigator provided to obtain location information of the vehicle, and a controller including at least one processor configured to process the location information and the first motion information, wherein the controller is configured to receive an expected motion value of the object based on the location information, compare the expected motion value with the first motion information to determine a difference value therebetween, and conclude the object as a dangerous object when the difference value is greater than or equal to a predetermined value.

Disclosed are an apparatus for controlling a vehicle, a system including the apparatus, and a method for controlling the apparatus. The apparatus includes: a reference lane calculator to calculate a reference lane based on a traveling condition of the vehicle; a target determining device to determine a target of interest based on the reference lane and a predicted path of an object around the vehicle; and a control parameter calculating device to calculate a control parameter of the vehicle based on a traveling state of the target of interest.

A lane localization system and method that may include a first measurement distance sensor located on a right-hand side of a vehicle and a second measurement distance sensor located on a left-hand side of the vehicle. The system and method may also be operable to receive data from at least one of the first measurement distance sensor or the second measurement distance sensor. The system and method may further determine which lane along a road the vehicle is traveling within based on a comparison a frequency of one or more echoes indicative of one or more objects located on the right-hand side and the left-hand side of the vehicle.

A method for evaluating a minimum breaking distance of a vehicle, in particular a car. The method comprises the step of obtaining at least one image in a movement direction of the vehicle associated substantially with an actual location of vehicle. A first road type indication from the at least one image is determined by a trained neural network architecture. Second road type indication associated with the actual location of the car are obtained from a database and compared with the first road type indication. If the second road type indication supports the determined first road type indication, an adjustment parameter associated with one of the at least first and second road type indication is selected. If second road type indication does not support the determined first road type indication, a default adjustment parameter as adjustment parameter is selected. Finally, a minimum breaking distance using the adjustment parameter is set.

A device (16) for determining a discrete representation (30) of a road section ahead of a vehicle (12) includes an input interface (22) for receiving sensor data (20) of a sensor (14) with information about the road section ahead of the vehicle, a setting unit (24) for ascertaining a control distance at which a property of the road section ahead of the vehicle that is relevant for an open-loop control of the vehicle changes based on the sensor data and for setting a support point in a discrete representation of the road section corresponding to the control distance. The setting unit is configured for setting a lower predefined second number (n2) of support points based on a predefined first number (n1) of support points. The device also includes an output interface (26) for outputting the lower predefined second number of support points to an optimizer (52) in order to determine a profile of at least one control parameter for the open-loop control of an open-loop system, a vehicle function based on the second number (n2) of support points.

There is provided an adaptive cruise control method for autonomously adapting the speed of an ego vehicle (300) to maintain a target headway, headway being distance from the ego vehicle to a forward vehicle (302), the ego vehicle equipped with a perception system (100) for measuring a current headway and a current speed and acceleration of the forward vehicle relative to ego vehicle, the method comprising: in response to detecting that the current headway is below the target headway, determining and implementing a deceleration strategy for increasing to the target headway; wherein the deceleration strategy is determined so as to selectively optimize for comfort in dependence on a predicted headway, the predicted headway computed for a future time instant based on the current speed and acceleration of the forward vehicle relative to the ego vehicle.

A vehicle control method implemented by a first vehicle configured with at least one driver assistance system. The method includes activating a driver assistance system to an active state, applying a vehicle speed range to the first vehicle in response to the driver assistance system being in the active state, obtaining first information of a moving object near the first vehicle, determining a first parameter based on the first information, and further terminating, based on the first parameter, the active state, and setting, based on the first parameter, the first vehicle to run at a first vehicle speed beyond the vehicle speed range.

A controller of a vehicle, while the vehicle is within a predefined geofenced region and responsive to the vehicle entering park, increases a maximum state of charge threshold for the battery and decreases a minimum state of charge threshold for the battery. The controller also, while the vehicle is located within the predefined geofenced region and responsive to the vehicle exiting park, decreases the maximum state of charge threshold and increases the minimum state of charge threshold.

An apparatus for controlling a vehicle includes an object selection device configured to select an object intersecting the vehicle at an intersection existing on a driving path of the vehicle, a risk determination device configured to determine a risk during driving of the vehicle based on a predicted path of the object, and a driving control device configured to determine a driving method of the vehicle based on a risk determination result.

Controlling a prime mover of a first vehicle following a first path is based, at least in part, on a likely speed behaviour of a second vehicle ahead of the first vehicle, which is estimated based on a predicted path of the second vehicle. At least one coasting profile for the first vehicle is estimated for at least part of the first path and/or the predicted path. At least one of the coasting profiles is determined that meets at least one predetermined coasting requirement. The prime mover may be controlled to place the vehicle into a coasting mode based on the determined coasting profile. Alternatively, feedback is provided to a user to put the vehicle into a coasting mode.