A method for determining a usable distance between a host vehicle and a moving object is provided. According to the method, a current obstacle free distance is detected in front of the host vehicle, wherein the current obstacle free distance is limited by a current position of the moving object, and a current velocity of the moving object is determined. An extension distance is estimated based on the current velocity of the moving object, and the usable distance is determined based on the current obstacle free distance and the extension distance.

An ECU performs collision avoidance control for an avoiding collision with an object based on at least one of first information, which is a detection result of the object based on a reflected wave corresponding to a transmission wave, and second information, which is a detection result of the object based on a captured image of an area in front of a vehicle captured by an image capturing means. When the state changes from a state where the object is detected by the first information and the second information to a state where the object is detected only by the first information, the ECU determines whether or not the object is located in a near area predetermined as an area in front of the vehicle in which the second information is not be able be acquired. When it is determined that the object is located in the near area, the ECU maintains an activation condition of the collision avoidance control to that in the state where the object is detected by the first information and the second information.

A vehicle driving assistance system includes a travel route generation system that acquires travel road information and obstacle information acquired by sensors and the like and generates the target travel route, on which a host vehicle travels, on a travel road. In the case where the host vehicle changes lanes, the system acquires information on the two peripheral vehicles, which exist near the host vehicle, on the change destination lane from the obstacle information, sets a target space, to which the host vehicle 1 should move, between the two peripheral vehicles on the change destination lane on the basis of this information on the two peripheral vehicles, predicts a future position of the target space on the basis of a moving speed of the target space, and generates the target travel route, on which the host vehicle travels during the lane change, on the basis of this predicted future position.

A system and method for predicting a collision between a host vehicle and a target vehicle operating on a multi-lane roadway may include determining the host and target vehicles are converging from respective first and second lanes to a third lane intermediate the first and second lanes. A predetermined set of conditions is evaluated including relationships among the host and target vehicle separations and speeds, and a collision predicted based upon the evaluation.

A driving assist system for permitting safe motorcycle lane splitting for use with either an automated driving assist system (which helps a person drive a vehicle) or with an autonomous driving system (which drives the vehicle for the person) having sensors for detecting a motorcycle approaching the vehicle from behind and a control system for determining which side of the motor vehicle the motorcycle will pass and then steering the motor vehicle towards the opposite side of the traffic lane (but without crossing into another lane or otherwise leaving the lane), to increase the safe passing distance between the motorcycle and the side of the motor vehicle. Mechanisms are also optionally provided to warn the driver that a motorcycle is approaching and that the motor vehicle will be maneuvering to avoid too close an approach to the motorcycle.

A method and system for determining lane change feasibility for autonomous vehicles is disclosed. The method includes the steps of tracking, in each frame, at least one neighboring vehicle from a plurality of neighboring vehicles in a current lane being used by the AV and in a plurality of adjacent lanes. The method further includes determining, in each frame, a set of kinematic parameters associated with each of the at least one neighboring vehicle, and assigning an occupancy state from a plurality of occupancy states to each of a plurality of voxels capturing a spatial information for each of the plurality of neighboring vehicles. The method may further includes determining an effective occupancy probability for each of the plurality of adjacent lanes, and determining feasibility of lane change for the AV to at least one adjacent lane from the plurality of adjacent lanes.

A driving support system executes a risk avoidance control for reducing a risk of collision with an object in front of a vehicle. A risk potential field represents a risk value as a function of position. An obstacle potential field is a risk potential field in which the risk value is maximum at a position of the object and decreases as a distance from the object increases. A vehicle center potential field is the risk potential field in which a valley of the risk value extends in a lane longitudinal direction from a position of the vehicle. A first risk potential field is the sum of the vehicle center potential field and the obstacle potential field. The driving support system executes a steering control such that the vehicle follows the first valley of the risk value represented by the first risk potential field.

A vehicle travel support device includes: a guide route setting unit; a travel environment information acquisition unit; a target traveling path setting unit; an inter-vehicle distance keep control unit; a lateral movement amount calculation unit; an obstacle avoidance action detection unit; and a preceding vehicle following controller. The guide route setting unit sets a guide route for a host vehicle. The travel environment information acquisition unit acquires travel environment information. The target traveling path setting unit sets a target traveling path. The inter-vehicle distance keep control unit causes the host vehicle to travel to keep a set distance from a preceding vehicle. The lateral movement amount calculation unit calculates a lateral movement amount of the preceding vehicle. The obstacle avoidance action detection unit detects an obstacle avoidance action of the preceding vehicle. The preceding vehicle following controller sets the target traveling path to a traveling path of the preceding vehicle.

A collision mitigation apparatus configured to mitigate a shock to an occupant of a vehicle when a rearward vehicle collides into the vehicle from behind, including a driving unit generating a driving force, and an electronic control unit having a microprocessor and a memory. The microprocessor is configured to perform predicting whether the rearward vehicle collides into the vehicle, and controlling the driving unit so that when it is predicted that the rearward vehicle collides into the vehicle, a difference between a vehicle speed of the vehicle and a vehicle speed of the rearward vehicle reduces and a driving force of a rear wheel is greater than a driving force of a front wheel immediately before the rearward vehicle collides into the vehicle.

An active safety assistance system for pre-adjusting speed and a control method using the same detect whether there is one other vehicle around a host vehicle. The trajectory of the other vehicle neighboring the host vehicle is estimated when the other vehicle exists. After fitting the other-vehicle trajectory to a lane to determine the intention of the other vehicle, the method determines whether the other vehicle is used as a target vehicle that influences the movement of the host vehicle and calculates a control parameter according to the fitted result and the intention of the other vehicle. The method calculates a target speed and a steering-wheel angle of the host vehicle and controls a steering wheel, a throttle pedal and a brake force of the host vehicle according to the trajectory, the control parameter, and the target speed of the host vehicle.