Vehicle control device, vehicle control method, and storage medium
AssigneeHonda Motor Co., Ltd.
InventorsKoichi Yoshihara, Takashi Mine, Yuki Kizumi
Life of this patent
Estimating the term…
Abstract
A vehicle control device includes a recognizer configured to recognize a surrounding environment including a structure of a road near a vehicle and another vehicle, a deriver configured to derive a predicted probability that the other vehicle will travel in the future along each of routes which are assumed when a plurality of routes along which the other vehicle is able to travel are assumed on a road on which the other vehicle recognized by the recognizer travels, and a travel controller configured to control behavior of the vehicle based on the predicted probability derived by the deriver.
Claims15
A vehicle control device comprising:
- at least one memory storing instructions, and
- at least one processor configured to execute the instructions to:
- recognize a surrounding environment including a structure of a road near a vehicle and another vehicle;
- derive a total predicted probability that the other vehicle will travel in the future along each of routes which are assumed when a plurality of routes along which the other vehicle is able to travel are assumed on a road on which the other vehicle travels;
- and
- control behavior of the vehicle based on the total predicted probability,
- wherein the routes which are assumed include a route A along which the other vehicle goes straight, a route B along which the other vehicle turns left, and a route C which the other vehicle turns right,
- derive a first predicted probability, a second predicted probability, and a third predicted probability to each of the route A, the route B, and the route C, and
- perform a statistic process using the first predicted probability, the second predicted probability, and the third predicted probability corresponding to each of the route A, the route B, and the route C to derive a predicted probability of the route A, a predicted probability of the route B, and a predicted probability of the route C,
- the first predicted probability includes a probability A1 of the route A, a probability B1 of the route B, and a probability C1 of the route C,
- derive the probability A1 of the route A, the probability B1 of the route B, and the probability C1 of the route C based on a probability information,
- the probability information is information in which the probability A1, the probability B1, and the probability C1 and each of a combination of a type of a structure of the road on which the other vehicle is present and a position of the other vehicle in the road are associated with each other,
- the second predicted probability includes a probability A2 of the route A, a probability B2 of the route B, and a probability C2 of the route C derived from an explicit action explicitly indicated by the other vehicle,
- the third predicted probability includes a probability A3 of the route A, a probability B3 of the route B, and a probability C3 of the route C derived from an implicit action implicitly indicated by the other vehicle obtained from the surrounding environment,
- control speed of the vehicle based on the predicted probability of the route A, the predicted probability of the route B, and the predicted probability of the route C.
A vehicle control method comprising:
- recognizing, by a computer, a surrounding environment including a structure of a road near a vehicle and another vehicle;
- deriving, by the computer, a total predicted probability that the other vehicle will travel in the future along each of routes which are assumed when a plurality of routes along which the other vehicle is able to travel are assumed on a road on which the other vehicle that has been recognized travels;
- and
- controlling, by the computer, behavior of the vehicle based on the total predicted probability,
- wherein the routes which are assumed include a route A along which the other vehicle goes straight, a route B along which the other vehicle turns left, and a route C which the other vehicle turns right,
- derive, by the computer, a first predicted probability, a second predicted probability, and a third predicted probability to each of the route A, the route B, and the route C, and
- perform, by the computer, a statistic process using the first predicted probability, the second predicted probability, and the third predicted probability corresponding to each of the route A, the route B, and the route C to derive a predicted probability of the route A, a predicted probability of the route B, and a predicted probability of the route C,
- the first predicted probability includes a probability A1 of the route A, a probability B1 of the route B, and a probability C1 of the route C,
- derive, by the computer, the probability A1 of the route A, the probability B1 of the route B, and the probability C1 of the route C based on a probability information,
- the probability information is information in which the probability A1, the probability B1, and the probability C1 and each of a combination of a type of a structure of the road on which the other vehicle is present and a position of the other vehicle in the road are associated with each other,
- the second predicted probability includes a probability A2 of the route A, a probability B2 of the route B, and a probability C2 of the route C derived from an explicit action explicitly indicated by the other vehicle,
- the third predicted probability includes a probability A3 of the route A, a probability B3 of the route B, and a probability C3 of the route C derived from an implicit action implicitly indicated by the other vehicle obtained from the surrounding environment,
- control speed of the vehicle based on the predicted probability of the route A, the predicted probability of the route B, and the predicted probability of the route C.
A non-transitory storage medium storing a program for causing a computer to:
- recognize a surrounding environment including a structure of a road near a vehicle and another vehicle;
- derive a total predicted probability that the other vehicle will travel in the future along each of routes which are assumed when a plurality of routes along which the other vehicle is able to travel are assumed on a road on which the other vehicle that has been recognized travels;
- and
- control behavior of the vehicle based on the total predicted probability,
- wherein the routes which are assumed include a route A along which the other vehicle goes straight, a route B along which the other vehicle turns left, and a route C which the other vehicle turns right,
- derive a first predicted probability, a second predicted probability, and a third predicted probability to each of the route A, the route B, and the route C, and
- perform a statistic process using the first predicted probability, the second predicted probability, and the third predicted probability corresponding to each of the route A, the route B, and the route C to derive a predicted probability of the route A, a predicted probability of the route B, and a predicted probability of the route C,
- the first predicted probability includes a probability A1 of the route A, a probability B1 of the route B, and a probability C1 of the route C,
- derive the probability A1 of the route A, the probability B1 of the route B, and the probability C1 of the route C based on a probability information,
- the probability information is information in which the probability A1, the probability B1, and the probability C1 and each of a combination of a type of a structure of the road on which the other vehicle is present and a position of the other vehicle in the road are associated with each other,
- the second predicted probability includes a probability A2 of the route A, a probability B2 of the route B, and a probability C2 of the route C derived from an explicit action explicitly indicated by the other vehicle,
- the third predicted probability includes a probability A3 of the route A, a probability B3 of the route B, and a probability C3 of the route C derived from an implicit action implicitly indicated by the other vehicle obtained from the surrounding environment,
- control speed of the vehicle based on the predicted probability of the route A, the predicted probability of the route B, and the predicted probability of the route C.
Dependencies are inferred from the claim text.