Surroundings detecting device, method and program

Abstract

Information necessary to control a vehicle is to be effectively detected in accordance with a situation. A supposition situation selecting section selects a supposition situation closest to the present situation of an own vehicle from a plurality of pre-supposed supposition situations on the basis of situation information acquired from a situation information acquiring unit and a supposition situation selection table through a situation information input I / F circuit. A detection process selecting portion selects a detection process to be actually performed from detection processes which can be performed by each detecting portion of a target detecting section on the basis of the selected supposition situation and a detection process selection table. The invention is applicable to an in-vehicle image processing device.

Description

technical field [0001] The present invention relates to a detection device, method, and program, and particularly to a detection device, method, and program capable of efficiently detecting information necessary for vehicle control. Background technique [0002] Conventionally, a forward monitoring device has been proposed (for example, refer to Patent Document 1) that detects obstacles ahead, such as a preceding vehicle, a parked vehicle, and pedestrians, by using time-series images obtained from a TV camera mounted on a vehicle. , and intruding obstacles such as vehicles and pedestrians entering the driving area of ​​the own vehicle, and the position of the obstacle closest to the own vehicle among the detected obstacles is detected as the final obstacle position. [0003] In addition, in recent years, a lane departure alarm function that warns of a lane departure, an automatic follow function that automatically follows the movement of a preceding vehicle, and a collision ...

AI Technical Summary

Problems solved by technology

[0006] However, if the types of objects to be detected increase, the types of programs to be executed also increase, so there is a problem that the detection process cannot be completed within a predetermined time.

In order to solve this problem, it is considered to increase the number of processing units such as CPU (Central Processing Unit) or core CPU, and to process multiple programs in parallel by hardware. However, in this case, the hardware scale increases and the circuit structure becomes complicated. issues such as globalization and rising costs

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