A vehicle control method is provided such that when a host vehicle is stopped at a front of a vehicle line of vehicles in accordance with a stop signal of a traffic light at an intersection, the engine is stopped by using an idle stop control. When either a left-turn or a right-turn will be made after the traffic light changes to a go signal, a presence or an absence of a traveling body, which is stopped on a side of or behind the host vehicle in a direction from which the host vehicle is turning, is detected during the stop signal. Upon determining the traveling body is stopped on the side of host vehicle, restarting of the engine is placed on standby even when the traffic light turns to the go signal, and the engine is restarted in accordance with a behavior of the traveling body.

The present invention relates to a method for avoiding collisions of a moving vehicle with other road users in the surroundings of the vehicle, comprising at least the method steps of: a) detecting, by means of one or more sensors, the vehicle surroundings and the other road users located therein; b) dividing the vehicle surroundings into a plurality of occupied areas; c) classifying the other road users detected in method step a), wherein, by means of the classification, at least one road user group is assigned to each of the other road users; d) prioritising the road user classified in method step c), taking into account both the classification carried out in method step c) and the occupied area defined in method step b), wherein road users from one or more predetermined road user groups in the particular occupied area are given a high priority and road users from other, non-predetermined road user groups in the particular occupied area are given a lower priority; and e) determining the probability of collision of the other road users with the vehicle, wherein the collision probability is determined in accordance with the prioritisation carried out in method step d) and the collision probability of the other road users having a high priority is determined first; f) changing or maintaining the current driving behaviour of the vehicle on the basis of the collision probabilities determined in method step e).

Provided are autonomous vehicles (AV), computer program products, and methods for maneuvering an AV in a roadway, including receiving forecast information associated with predicted trajectories of one or more actors in a roadway, determining a relevant trajectory of an actor based on correlating a forecast for predicted trajectories of the actor with the trajectory of the AV, regenerate a distance table for the relevant trajectory previously generated for processing constraints, generate a plurality of margins for the AV to evaluate, the margins based on a plurality of margin types for providing information about risks and effects on passenger comfort associated with a future proximity of the AV to the actor, classifying an interaction between the AV and the actor based on a plurality of margins, and generating continuous scores for each candidate trajectory that is also within the margin of the actor generated for the relevant trajectory.

An adaptive trust calibration based autonomous vehicle may include vehicle systems, a system behavior controller, and a driving automation controller. The system behavior controller may generate a driving automation signal indicative of a desired autonomous driving adaptation. The driving automation controller may control the vehicle systems based on parameters including a desired velocity, current velocity of the autonomous vehicle, desired minimum gap distance between the autonomous vehicle and a detected object, current gap distance gap between the autonomous vehicle and a detected object, relative velocity of the detected object with respect to the autonomous vehicle, desired time headway, desired maximum acceleration, desired braking deceleration, and an exponent. The driving automation controller may receive the driving automation signal and implement the desired autonomous driving adaptation via the vehicle systems by adjusting the parameters based on a type of object associated with the detected object.

The present disclosure relates to a steering control apparatus and a method. More specifically, the steering control apparatus according to the present disclosure includes: a receiver that receives first vehicle traveling information and first vehicle vicinity information of a host vehicle from a plurality of sensors and a navigator; and a controller that sets a monitoring range (a region of interest (ROI)) on a traveling path on which the host vehicle is predicted to travel based on the first vehicle traveling information and the first vehicle vicinity information, determines a possibility of a collision between the host vehicle and an object in a case where the object is detected inside the monitoring range, and generates a control signal used for avoiding a collision with the object in a case where the possibility of the collision is a threshold point or higher.

Embodiments of the disclosure provide systems and methods for determining fault for a vehicle accident. An exemplary system includes a communication interface configured to receive a video signal from a camera. The video signal includes a sequence of image frames. The system further includes at least one processor coupled to the communication interface. The at least one processor detects one or more vehicles and one or more road identifiers in the image frames, transforms a perspective of each image frame from a camera view to a top view, determines a trajectory of each detected vehicle in the transformed image frames, identifies an accident based on the determined trajectory of each vehicle, and determines a type of the accident and a fault of each vehicle involved in the accident.

A road information processing system including: a lane departure prevention information acquisition unit for acquiring lane departure prevention information indicating a time point at which a lane departure prevention process by a lane departure prevention function was executed, and a point where the lane departure prevention process was executed, on a vehicle having the lane departure prevention function; a vehicle behavioral information acquisition unit for acquiring vehicle behavioral information indicating a behavior of the vehicle; and an obstacle recognition unit for recognizing, based on the lane departure prevention information and the vehicle behavioral information, an obstacle present at the point where the lane departure prevention process was executed.

A controller for a vehicle capable of autonomous driving. The controller executes detecting an emergency vehicle traveling around the vehicle based on surrounding environment information, and determining how to deal with the emergency vehicle in response to a detection of the emergency vehicle. In the determining how to deal with the emergency vehicle, the controller executes, at least, determining to cause the vehicle to take an avoidance action for the emergency vehicle, and determining to cause the vehicle to take a preliminary action for the avoidance action.

In a driving assistance apparatus, an object detecting unit detects an object that is present in a periphery of an own vehicle based on an image captured by an imaging apparatus provided in the own vehicle. An avoidance control unit performs collision avoidance control for avoiding a collision between the detected object and the own vehicle when a collision between the object and the own vehicle is likely. A light distribution control unit switches irradiated light of an irradiation apparatus provided in the own vehicle between high beam and low beam based on a predetermined switching condition. The light distribution control unit performs switching suppression control to suppress switching of the irradiated light from high beam to low beam while the avoidance control unit is performing collision avoidance control in a case where the irradiated light is set to high beam.

An autonomous driving vehicle includes a user detection monitoring device and a start control device. The user detection monitoring device detects a user who got out of the autonomous driving vehicle after the autonomous driving vehicle stopped at a destination as an alighted user and monitors the alighted user. The start control device maintains a stopped state of the autonomous driving vehicle after the alighted user was detected until a start condition is satisfied and, if the start condition is satisfied, permits a start of the autonomous driving vehicle. The start condition is one of a condition indicating that the alighted user at least moves out of a movement determination area around the autonomous driving vehicle and a condition indicating that the alighted user is present in the movement determination area but remains at the same position for a certain period of time or longer.