A traveling assistance apparatus recognizes a travel road on which a vehicle is traveling, acquires a traveling state of the vehicle, and determines whether or not the vehicle will deviate from the travel road based on the recognition result of the travel road and the traveling state of the vehicle. The apparatus determines whether to perform, as a prevention method for preventing from the travel road, a method in which either of steering control and brake control of the vehicle is performed, or a method in which a period over which either of the steering control and the brake control is performed and a period over which both of the steering control and the brake control are performed are set. The apparatus sets a steering amount for the steering control and a brake amount for the brake control when the deviation prevention control is performed based on the prevention method.

A steering control system for a vehicle that considers the limitations of at least one of the vehicle and the environment is contemplated. The steering control system can receive a vehicle characteristic, an environmental condition, a desired amount of turning, and a desired velocity of the vehicle. Based on some, or all of these parameters, the steering control system can determine at least one of a wheel torque, a wheel angle, a wheel camber, and a wheel suspension for a desired vehicle path to enhance vehicle performance.

In a computer-implemented method of assessing driving performance using route scoring, driving data indicative of operation of a vehicle while the vehicle was driven on a driving route may be received. Road infrastructure data indicative of one or more features of the driving route may also be received. A route score for the driving route may be calculated using the road infrastructure data, and a driving performance score for a driver of the vehicle may be calculated using the driving data and the route score for the driving route. Data may be sent to a client device via a network to cause the client device to display the driving performance score and/or a ranking based on the driving performance score, and/or the driving performance score may be used to determine a risk rating for the driver of the vehicle.

A method to control a vehicle comprising a driver support function and an information receiving device, comprising the steps of; receiving information regarding a severe condition and the position of the severe condition; determining the distance from the vehicle to the position of the severe condition; comparing the determined distance to a first predetermined distance; if the determined distance is smaller than the first predetermined distance, automatically adjust or disengage the driver support function; if the driver support function has been automatically adjusted or disengaged, comparing the determined distance to a second predetermined distance; if the determined distance is smaller than the second predetermined distance, automatically activating at least one warning light of the vehicle.

This document describes techniques and systems for selecting a parking space using a probabilistic approach. An example system includes a processor that can determine whether multiple parking spaces are available in proximity to a host vehicle using sensor data. Parking-space characteristics (e.g., a width, entry turning radius, and longitudinal distance to the parking space) of each available parking space are determined using the sensor data. The processor can then choose a selected parking space among the multiple parking spaces based on the parking-space characteristics. The processor or another processor can then control the host vehicle to park in the selected parking space using an assisted-driving or autonomous-driving system. In this way, the described system can select and navigate to a parking space using a probabilistic approach. The processor can choose the parking space and parking maneuver based on programmable and customizable parking-space characteristics in some implementations.

An system and method of operating an adaptive cruise control system for a vehicle. In one example, the system includes a rearward facing sensor, a speed control, and a controller. The controller receives at least one parameter indicative of a road condition or a traffic condition. The controller then activates a coasting mode based on the at least one parameter. The controller receives a signal from the rearward facing sensor indicative of a presence of a target vehicle positioned behind the host vehicle and restricts the coasting mode when the signal from the rearward facing sensor detects the target vehicle is positioned behind the host vehicle. The controller performs coasting via the speed control when the signal from the rearward facing sensor does not detect the target vehicle positioned behind the host vehicle and when the coasting mode is active.

A method for controlling a distance-dependent cruise control system for a motor vehicle, pieces of distance information and/or pieces of velocity information of a target object being combined with pieces of context information. The velocity of the motor vehicle is controlled as a function thereof.

When conditions have not been satisfied from a timing at which a first position of the interflow zone was set to a timing at which the subject vehicle reaches the first position, the first position is set as a start position where a notification for urging a handover of a central player of the subject vehicle is performed. When the condition for automatic interflow is satisfied for the first time at the timing at which the subject vehicle reaches the first position, a second position between the first position and a distal end of the interflow zone is set as the start position.

An autonomous driving control apparatus for a vehicle includes: a processor that determines whether a current driving condition of the vehicle is a limit situation during an autonomous driving control, performs a demand for control authority transition to a user during the autonomous driving control when the current driving condition is the limit situation, and starts a minimum risk maneuver to transmit a signal for disabling reactivation of the autonomous driving control when control authority is not transferred to the user; and a storage to store a set of instructions and driving condition data to be used by the processor. In particular, the processor demands for engagement of an electronic parking brake device when the vehicle is stopped after the minimum risk maneuver ends.

Methods, systems, and computer readable mediums for determining a scene representation for a vehicle are provided. A disclosed method includes acquiring data from one or more sensors of the vehicle. The method further includes detecting, using processing circuitry, one or more objects in a surrounding of the vehicle based on the acquired data; determining whether an object of the detected one or more objects intersects with a vehicle lane of travel; determining whether the object is in a lane of travel of the vehicle; determining inter-vehicle gaps and cut-ins between the object and the vehicle; and rendering a scene representation including the inter-vehicle gaps and cut-ins between the object and the vehicle.