A vehicular information display apparatus is provided which includes a display apparatus provided in a vehicle compartment and a display controller for controlling display of the display apparatus and is arranged to display specific information about a vehicle in a form to include a graphic on a screen of the display apparatus. The vehicular information display apparatus switches between a first display mode in which the specific information is displayed on a display region in the screen of the display apparatus and a second display mode in which the specific information is displayed on a display region smaller than the first display mode in the screen of the display apparatus. The display controller displays the graphic of the specific information by changing an orientation or a shape of the graphic when the display region is changed.

A method and a device is described for determining the cross slope of a roadway or a negotiated curve for a motor vehicle, an evaluation unit being suppliable with measured values of a yaw rate sensor, of a driving speed sensor and of a lateral acceleration sensor as input signals, and the evaluation unit ascertaining therefrom a cross slope of the presently traveled roadway in that the difference value is formed between a calculated and a measured lateral acceleration, from which the roadway cross slope is derivable. The ascertained value is supplied to an adaptive cruise controller or a system for vehicle dynamics control in order to predefine an acceleration or a deceleration.

A system includes a processor configured to determine traffic density over a road segment. The processor is also configured to model traffic parameters to maximize traffic flow over the road segment, based on the traffic density and travel characteristic data received from a plurality of vehicles exiting the road segment. The processor is further configured to determine a speed to density curve, using the model, that would maximize traffic flow and send the speed to density curve to a vehicle entering the road segment.

A method is intended to regulate the speed of an at least partially automated vehicle traveling on a first traffic lane adjacent to a second traffic lane. This method comprises a step (10-80) in which, if a radius of curvature of a future portion representative of a bend is detected, a phase of deceleration to a first deceleration speed adapted to the radius of curvature is imposed on the first vehicle unless it is in the course of overtaking a second vehicle traveling in the second traffic lane, since in that case a current speed of the second vehicle is determined and then, if the first deceleration speed is less than this current speed, the first deceleration speed is replaced with a second deceleration speed greater than this current speed.

Disclosed is a driving support control device (ECU) 10 capable of controlling a vehicle 1 in accordance with any one selected from plural driving support modes by a driver. The driving support control device 10 is configured to temporally repeatedly calculate a target traveling course (R1 to R3) along which the vehicle 1 should travel, and to, in a given one (preceding vehicle following mode) of the driving support modes, execute control of causing the vehicle 1 to travel on and along the target traveling course, wherein the driving support control device 10 is operable, in a situation where a current position of the vehicle 1 deviates beyond a given distance d.sub.th laterally from the target traveling course, to, even when the driver selects the given driving support mode, prohibit transition to the given driving support mode.

In the invention, in automatic parking, a route from a parking start position to a target parking position is calculated prior to the start of parking. However, there are cases where an external environment recognition device cannot detect an obstacle at a distant or blind spot. In such a case, smooth parking is hindered when the vehicle is actually automatically parked. In the invention, in Step S1101, the vehicle is virtually moved from a parking start position 1201 in the direction of a turning position, and a turning position 1206 is calculated on a parking route 1205. In Step S1103, a preliminary route to a target parking position 1207 when the vehicle is turned back at the turning position 1206 is calculated. In the next Step S1104, it is determined whether the preliminary route can be generated, and when the preliminary route satisfies a predetermined condition, the route calculated by a candidate route calculation unit 501 is adopted as an automatic parking route.

A vehicle control device includes a processor, a memory and a sensor that acquires surrounding environment information of the vehicle, a host vehicle position estimation unit that estimates the route of the vehicle, a surrounding environment storage unit that stores the surrounding environment information and the route estimated by the host vehicle position estimation unit in association with each other, a vehicle-speed threshold determination unit that sets a vehicle-speed threshold value when the surrounding environment storage unit stores the surrounding environment information and the route in association with each other, and determines whether or not a current vehicle speed exceeds the vehicle-speed threshold value when the surrounding environment storage unit stores the surrounding environment information and the route, and a warning unit that performs a notification of an excess of the vehicle speed when the vehicle-speed threshold determination unit determines that the vehicle speed exceeds the vehicle-speed threshold value.

A speed control method for controlling the speed of an autonomous vehicle provided with at least one autonomous driving module and one geolocation module, the vehicle being capable of following a route, which is predefined and segmented according to at least one segmentation comprising of a plurality of segments, each associated with: an interval of geolocation data; and a set of values for nominal maximum travel speed of the autonomous vehicle, each speed value being associated with a distinct time slot; the method comprising: the acquisition, from the on-board geolocation module, of an instantaneous geolocation data item of the autonomous vehicle associated with a time instant; as a function of the instantaneous geo-location data item and the time instant, the determination, of the segment currently being traversed and/or to be traversed, and of the associated nominal maximum speed value.

A vehicle adaptive cruise control apparatus for controlling traveling of a host vehicle is provided. The vehicle adaptive cruise control apparatus that is configured to: receive a vehicle speed of the host vehicle; receive an inter-vehicle distance between a preceding vehicle and the host vehicle; define a minimum safe inter-vehicle distance; set a reaction time of a driver; and use adaptive cruise control. The vehicle adaptive cruise control apparatus uses a maximum speed reference for the host vehicle which is defined as ratio between a) the inter-vehicle distance and b) the reaction time of the driver.

An aspect of the disclosure provides an apparatus and a method for assisting driving capable of calculating a speed limit of a vehicle using curvature information of a road and accurately recognizing a traffic sign through this. The apparatus for assisting driving of a host vehicle includes a front sensor mounted to the host vehicle and having a field of view in front of the host vehicle, the front sensor configured to obtain front image data; and a controller including a processor configured to process the front image data. The controller may be configured to detect a speed displayed on a sign based on the front image data, to calculate a limit speed of the host vehicle on a driving road based on the front image data, and to display a sign speed smaller than the limit speed on a display of the host vehicle.