Obstacle map creation method, program, and obstacle map creation device

JP7880611B2Active Publication Date: 2026-06-26MOVIES CO LTD

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
MOVIES CO LTD
Filing Date
2022-07-21
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Conventional surrounding environment recognition methods for autonomous driving vehicles cannot distinguish between moving objects and uneven surfaces, leading to inaccurate obstacle maps that hinder safe and comfortable driving.

Method used

An obstacle map creation method that utilizes LiDAR to acquire height information, rejects moving object information using variance values, and employs a rejection unit to create an obstacle map with positional information of road obstacles, incorporating gradient and risk calculation units to determine deceleration or stop requirements.

Benefits of technology

Reduces the influence of moving objects on obstacle maps, enabling accurate detection and appropriate vehicle control by distinguishing between road irregularities and moving objects, thereby enhancing safety and comfort in autonomous driving.

✦ Generated by Eureka AI based on patent content.

Smart Images

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Patent Text Reader

Abstract

To provide an obstacle map creation method capable of reducing influence of a moving object on an obstacle map.SOLUTION: An obstacle map creation method for creating an obstacle map including position information of an obstacle on a road on which a moving body (a vehicle V10) travels, the method including: an acquisition step for acquiring height information for creating the obstacle map, the height information indicating a relation between a horizontal position of a surface of the road and a height; and a discarding step for discarding moving object information indicating a relation between the horizontal position of a moving object other than the moving body arranged on the road surface and the height among the height information.SELECTED DRAWING: Figure 1
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