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A simulation modeling method of intelligent vehicle road navigation environment model

An intelligent vehicle, simulation modeling technology, applied in the field of unmanned vehicles, can solve the problems of heavy workload, poor authenticity and high cost, and achieve the effect of reducing workload and cost, and high simulation authenticity.

Active Publication Date: 2018-12-07
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Problems solved by technology

The existing modeling method mainly builds a large number of scene elements through professional 3D modeling software, and then uses professional control strategy software to write the control model. This method has a large workload, high cost, and poor authenticity, and is not suitable for building large-scale road traffic problems

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  • A simulation modeling method of intelligent vehicle road navigation environment model
  • A simulation modeling method of intelligent vehicle road navigation environment model
  • A simulation modeling method of intelligent vehicle road navigation environment model

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Embodiment Construction

[0055] Preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principle of the present invention.

[0056] A specific embodiment of the present invention discloses a simulation modeling method of an intelligent vehicle road navigation environment model, such as figure 1 shown, including the following steps:

[0057] Step S1, establishing an intelligent vehicle road navigation simulation environment;

[0058] Specifically, the intelligent vehicle road navigation simulation environment is constructed using Prescan according to the actual situation, and the construction scene is a 1:1 simulation scene similar to the real environment;

[0059] Prescan has the characteristics of quickly constructing the simulation environment map, and it has a rich road u...

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Abstract

The invention relates to a simulation modeling method of an intelligent vehicle road navigation environment model, which comprises the following steps: establishing an intelligent vehicle road navigation simulation environment; setting virtual vehicle radar, traffic lights, road conditions including ramps, corners and speed limit points in the simulation environment; according to the scene controlstrategy, establishing the simulation model of intelligent vehicle road navigation environment. According to the invention, the multi-source information of the intelligent vehicle can be uniformly constructed in a simulation environment model, the workload and the cost of establishing the driving environment model are reduced, high simulation authenticity is exhibited, and the simulation of the large-scale and complex road traffic environment can be easily established.

Description

technical field [0001] The invention relates to the technical field of unmanned vehicles, in particular to a simulation modeling method for an intelligent vehicle road navigation environment model. Background technique [0002] In recent years, driving simulator is a safe and efficient simulation tool, which is mainly used in the experimental development of new automotive technology and traffic safety research. The road traffic environment provides the driver with a virtual driving environment, combined with the driving equipment to produce a real car driving feeling, which is the key to the driving simulation experiment. The existing modeling method mainly builds a large number of scene elements through professional 3D modeling software, and then uses professional control strategy software to write the control model. This method has a large workload, high cost, and poor authenticity, and is not suitable for building large-scale The problem of road traffic environment. Co...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 胡宇辉唐波杨森王羽纯吕超龚建伟
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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