摘要:
An own vehicle risk acquiring ECU 1 acquires a predicted track of an own vehicle and calculates and acquires a plurality of tracks of the other vehicle about the own vehicle. According to the predicted track of the own vehicle and the plurality of tracks of the other vehicle, a collision probability of the own vehicle is calculated as a collision possibility.
摘要:
A collision determination device determines the possibility of collision between a host vehicle and the other object on the basis of a shortest arrival time calculated by a shortest arrival time calculation unit and a passage time at each point of the host vehicle acquired by a vehicle route candidate acquisition unit. In this way, even if a locus to be taken by the other object is not generated, the shortest arrival time at which the other object can arrive at each point of the route candidate of the host vehicle with a predetermined first displacement is calculated, thereby determining the possibility of collision between the host vehicle and the other object. Therefore, it is possible to reduce a computational load for determining collision and to accurately determine collision between the host vehicle and the other object.
摘要:
A method, an apparatus, and a program of predicting an obstacle course, capable of appropriately predicting a course of an obstacle even under a complicated traffic environment, are provided. For this purpose, the course, which the obstacle may take, is predicted based on the position and the internal state of the obstacle, and at the time of the prediction, a plurality of courses are probabilistically predicted for at least one obstacle. When there are a plurality of obstacles, the course in which different obstacles interfere with each other is obtained from the predicted courses, which a plurality of obstacles may take, and the predictive probability of the course for which the probabilistic prediction is performed from the courses in which they interfere with each other is lowered. Probability of realizing each of a plurality of courses including the course of which predicted probability is lowered is calculated.
摘要:
A vehicle risk level acquiring ECU calculates and acquires a plurality of courses of other vehicles around a driver's own vehicle, and acquires the predicted course of the driver's own vehicle. The vehicle risk level acquiring ECU calculates the collision probability of the driver's own vehicle as collision possibility on the basis of the predicted course of the driver's own vehicle and the plurality of courses of other vehicles.
摘要:
A movement region prediction apparatus includes a mobile body detection device that detects a mobile body around a host vehicle; a prediction device that predicts a movement region of the detected mobile body; and a degree-of-normality acquisition device that acquires degree of normality of a situation of movement of the detected mobile body. The prediction device has a plurality of movement prediction models for predicting the movement region of the mobile body, and selects a movement prediction model from the plurality of movement prediction models based on the degree of normality acquired by the degree-of-normality acquisition device, and predicts the movement region of the mobile body using the selected movement prediction model.
摘要:
A host-vehicle risk acquisition device includes a host-vehicle path acquisition portion that acquires a path of a host-vehicle, and an obstacle path acquisition portion that acquires a plurality of paths of an obstacle existing around the host-vehicle. A collision risk acquisition portion acquires an actual collision risk, which is a collision risk between the host-vehicle and the obstacle when the host-vehicle is in a travel state based on the path of the host-vehicle and the plurality of paths of the obstacle. An offset risk acquisition portion acquires an offset risk, which is a collision risk between the host-vehicle and the obstacle in an offset travel state, which is offset from the travel state of the host-vehicle.
摘要:
A movable area acquisition ECU 1 compares a possible path for a host vehicle and a predicted path of another vehicle in a travel area of the host vehicle with each other to obtain a possibility of collision between the two vehicles, thus computing a degree of danger to the host vehicle. If the degree of danger to the host vehicle exceeds a predetermined threshold, the travel area is extended and then a degree of danger to the host vehicle is computed and acquired.
摘要:
A vehicle risk level acquiring ECU calculates and acquires a plurality of courses of other vehicles around a driver's own vehicle, and acquires the predicted course of the driver's own vehicle. The vehicle risk level acquiring ECU calculates the collision probability of the driver's own vehicle as collision possibility on the basis of the predicted course of the driver's own vehicle and the plurality of courses of other vehicles.
摘要:
A movable area acquisition ECU 1 compares a possible path for a host vehicle and a predicted path of another vehicle in a travel area of the host vehicle with each other to obtain a possibility of collision between the two vehicles, thus computing a degree of danger to the host vehicle. If the degree of danger to the host vehicle exceeds a predetermined threshold, the travel area is extended and then a degree of danger to the host vehicle is computed and acquired.
摘要:
Disclosed is a route evaluation device that enables traveling along a route in consideration of an operation of the driver of another vehicle, and can realize a safer traffic environment. A route evaluation device includes a route candidate generation section that generates route candidates of a host-vehicle, a route prediction section that predicts routes of another vehicle, a classification section that classifies the interference states of the route candidates of the host-vehicle and the predicted routes of another vehicle into a plurality of interference forms, and a route evaluation section that evaluates the routes of the host-vehicle on the basis of the interference forms classified by the classification section.