Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Vehicle-road cooperation test method and device based on unmanned vehicle

A vehicle-road coordination and driverless technology, applied in the field of artificial intelligence, can solve problems such as high construction costs and test coverage, difficulty in testing driverless vehicle-road coordination technology, and economic losses.

Active Publication Date: 2021-09-10
SHENZHEN URBAN TRANSPORT PLANNING CENT
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Regarding road testing, there are many test scenarios for vehicle-road coordination, and a comprehensive test process requires a large test site, resulting in high construction costs and low test coverage, making it difficult to comprehensively test driverless vehicle-road coordination technology
For high-risk scenarios, it is easy to cause a certain degree of economic loss and personal injury
[0006] Regarding the software scene test, it is difficult to simulate the real wireless communication environment, and it is also difficult to restore the real description of the vehicle motion state, and it is impossible to collect data information close to the real scene for analysis and improvement of unmanned driving related technologies

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
  • Vehicle-road cooperation test method and device based on unmanned vehicle
  • Vehicle-road cooperation test method and device based on unmanned vehicle
  • Vehicle-road cooperation test method and device based on unmanned vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment one, refer to Figure 1 to Figure 4 To illustrate this embodiment, a vehicle-road collaborative testing method based on an unmanned car in this embodiment includes the following steps:

[0037] S1 collects roadside information and vehicle information;

[0038] Specifically, the roadside information includes traffic participants; the vehicle-mounted information includes the environment information around the vehicle, the location of the surrounding roads and obstacles, the speed direction angle and size, etc. taken from the vehicle's perspective, as well as the gear position of the vehicle's can bus, the steering wheel angle, four Axis acceleration, braking, vehicle speed, lamp status, accelerator pedal depth, mileage information and other information.

[0039] Specifically, traffic participants include various motor vehicles, non-motor vehicles, pedestrians, etc.;

[0040] S2 stores the collected roadside information and vehicle information into the test sc...

Embodiment 2

[0058] Embodiment two, refer to figure 2 Describe this embodiment, a vehicle-road collaborative test device based on an unmanned car in this embodiment, including an information collection module, an outdoor data transmission module, a test scene database module, a virtual simulation test environment module, a test data recording module and an analysis evaluation module;

[0059] The information collection module, the outdoor data transmission module, the test scene database module, the virtual simulation test environment module, the test data recording module and the analysis and evaluation module are sequentially connected;

[0060] The information collection module is used to collect roadside and vehicle information, and transmits the collected data to the test scene database module through the outdoor data transmission module;

[0061] The test scene database module is used to receive and store the data transmitted by the information collection module;

[0062] The virt...

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 provides a vehicle-road cooperation test method and device based on an unmanned vehicle, and belongs to the technical field of artificial intelligence. The method specifically comprises the following steps: firstly, acquiring roadside information and vehicle-mounted information; secondly, storing the collected roadside information and vehicle-mounted information into a test scene database; then, exporting a test scene from the test scene database, creating a virtual simulation test environment, and starting a test; and finally, recording test data, evaluating the test scene and generating a test evaluation report. The invention solves the technical problems that in the prior art, the test cost is high, and the real vehicle motion state is difficult to restore in the test; and the construction cost is low, the test scene coverage rate is 100%, meanwhile, repeated testing can be achieved, the requirements of industry test regulations are met, and data support can be provided for follow-up improvement of a vehicle-road cooperation algorithm based on the unmanned trolley.

Description

technical field [0001] The present application relates to a test method for an unmanned car, in particular to a vehicle-road collaborative test method and device based on an unmanned car, which belongs to the field of artificial intelligence technology. Background technique [0002] Vehicle-road coordination technology is a supplement and extension of intelligent driving technology. Through modern high-speed wireless communication technology, roadside sensing equipment transmits roadside information to unmanned vehicles, which supplies the decision-making system of unmanned vehicles, and makes up for the shortcomings of single-vehicle information perception. Depending on the environment and blind spots. [0003] Existing vehicle-road collaborative testing technologies based on unmanned vehicles are mainly divided into two types: software testing and road testing. Software testing mainly relies on various simulation software to restore test scenarios and information, use sim...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06F30/20G06F11/36G06F16/901
CPCG06F30/15G06F30/20G06F11/3664G06F11/3688G06F16/901
Inventor 田锋邓普阳张枭勇刘宇鸣张炳振陈振武王宇周勇
Owner SHENZHEN URBAN TRANSPORT PLANNING CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com