Unlock instant, AI-driven research and patent intelligence for your innovation.

Unmanned vehicle obstacle avoidance path planning method based on improved intelligent water drop algorithm

A path planning, intelligent water droplet technology, applied in vehicle position/route/altitude control, motor vehicle, two-dimensional position/channel control, etc., can solve problems such as lack of inspiration, and achieve the effect of effective and reliable planning

Pending Publication Date: 2020-01-17
JIANGSU UNIV OF TECH
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a reliable and effective path planning method for unmanned vehicle obstacle avoidance based on the improved intelligent water drop algorithm, which solves the problem of obstacle avoidance and path planning in the process of unmanned vehicle driving, and optimizes the internal iterative function and update relationship at the same time , overcomes the shortcomings of insufficient heuristics and easy to fall into local optimum

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Unmanned vehicle obstacle avoidance path planning method based on improved intelligent water drop algorithm
  • Unmanned vehicle obstacle avoidance path planning method based on improved intelligent water drop algorithm
  • Unmanned vehicle obstacle avoidance path planning method based on improved intelligent water drop algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035]Below in conjunction with the above-mentioned drawings, the technical route method of the present invention will be described in more detail, so that the advantages and characteristics of the present invention can be more easily understood by those skilled in the art, so that the protection scope of the present invention can be defined more clearly .

[0036] The first step, according to figure 2 In the arrangement shown, the millimeter-wave radar is used to detect and identify the environment, and the effective power of the radar transmitter is P r , the electromagnetic wave is radiating uniformly, then the power density P received by the obstacle at the distance R from the radar D for:

[0037] In order to improve the radar transmission efficiency, the radar uses a directional antenna to increase the power density in a certain direction, and the maximum gain G of the antenna is defined as:

[0038] Obstacles will intercept "part of the incident energy" and radi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an unmanned vehicle obstacle avoidance path planning method based on an improved intelligent water drop algorithm. The movement performance of an unmanned vehicle and influences of obstacles in a surrounding operation environment are comprehensively considered. The method comprises the steps of: performing scanning by millimeter wave radar, and modeling the surrounding environment of the unmanned vehicle; and by adopting an improved intelligent water drop algorithm, setting a water flow movement speed and sediment content parameters to simulate a mechanism that water flow and sediment interact to form a water channel, so that the problems of obstacle avoidance and path planning in the running process of the unmanned vehicle are solved, an internal iterative functionand an updating relation are optimized, and the defects that heuristics are insufficient, and the unmanned vehicle is prone to falling into local optimum are overcome. The method can be applied to path planning for the unmanned vehicle to avoid dynamic and static obstacles.

Description

technical field [0001] The invention relates to a path planning method for an unmanned vehicle obstacle avoidance, in particular to an unmanned vehicle obstacle avoidance path planning method based on an improved intelligent water drop algorithm. Background technique [0002] The unmanned vehicle perceives the surrounding environment information through a variety of sensors set on it, and controls the steering and speed of the vehicle according to the obtained information, and finally realizes safe and reliable autonomous driving function. The key technologies of unmanned vehicles include environment perception, navigation and positioning, path planning and decision-making control. Path planning for unmanned vehicles is to search for an optimal path in an environment with obstacles according to certain evaluation criteria according to a certain path planning algorithm. [0003] The millimeter-wave radar sensor is a radar whose operating frequency is selected in the frequenc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05D1/02
CPCG05D1/0257G05D1/0259G05D1/0223G05D1/0221
Inventor 陈雪俊贝绍轶
Owner JIANGSU UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More