IP Library Granted Patent US 11,680,808
Granted Patent B2
US 11,680,808 · App. 17/243,680 · Granted Jun 20, 2023

Map selection device, storage medium storing computer program for map selection and map selection method

Inventor: Ryo Igarashi (Tokyo-to, JP)
Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
G01C21/3461G01C21/367G01C21/3874
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Quick Facts
Patent No.
US 11,680,808
App. No.
17/243,680
Granted
Jun 20, 2023
Kind
B2
Abstract

A map selection device having an acquisition device that acquires a traveling route from the current location of a vehicle to a destination, a storage device that stores multiple maps, and a processor configured to select one or more maps containing a traveling route from among the multiple maps stored in the memory, so as to include the region from the current location on the traveling route to the destination, and, when multiple map candidates exist containing a single zone included in the traveling route, to select a map candidate suitable for automatic control as the map to be utilized for traveling in the zone.

Claims (21)

1. A map selection device comprising:

an acquisition device that acquires a traveling route from the current location of a self-driving vehicle to a destination;

a storage device that stores multiple maps; and

a processor configured to

select a plurality of map candidates for a first zone included in the traveling route from among the multiple maps stored in the storage device,

calculate an evaluation value for each of the map candidates based on a maximum control level for automatic control at which travel is possible for hardware of the self-driving vehicle using the map candidate, and

select, from among the map candidates, a first map candidate having the highest evaluation value for the first zone, wherein

the evaluation value is calculated based on (i) the hardware of the self-driving vehicle and (ii) the length of period between the current time and the time at which each map candidate was created.

2. The map selection device according to claim 1 , wherein the processor is further configured to determine the length of the first zone of the traveling route contained in each of the map candidates, for each control level for automatic control corresponding to the selected map candidates, and to calculate a distance that the self-driving vehicle can travel with each of multiple control levels when the self-driving vehicle is traveling on the traveling route.

3. A computer-readable non-transitory storage medium that stores a computer program for map selection, which causes a processor:

to input a traveling route from the current location of a self-driving vehicle to a destination via an acquisition device;

to select a plurality of map candidates for a first zone included in the traveling route from among multiple maps stored in a storage device;

to calculate an evaluation value for each of the map candidates based on a maximum control level for automatic control at which travel is possible for hardware of the self-driving vehicle using the map candidate; and

to select, from among the map candidates, a first map candidate having the highest evaluation value for the first zone, wherein

the evaluation value is calculated based on (i) the hardware of the self-driving vehicle and (ii) the length of period between the current time and the time at which each map candidate was created.

4. A map selection method, which causes a processor:

to input a traveling route from the current location of a self-driving vehicle to a destination via an acquisition device;

to select a plurality of map candidates for a first zone included in the traveling route from among multiple maps stored in a storage device;

to calculate an evaluation value for each of the map candidates based on a maximum control level for automatic control at which travel is possible for hardware of the self-driving vehicle using the map candidate; and

to select, from among the map candidates, a first map candidate having the highest evaluation value for the first zone, wherein

the evaluation value is calculated based on (i) the hardware of the self-driving vehicle and (ii) the length of period between the current time and the time at which each map candidate was created.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 29, 2021
From: IGARASHI, RYO
To: TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 056084/0490 →
Priority Claims (1)
JP JP2020-087449 · May 19, 2020 · national
Continuity (1)
Related Publication 20210364306A1 · Nov 25, 2021