Unmanned vehicle driving control method and device and electronic equipment

A control method and unmanned vehicle technology, applied in the field of devices and electronic equipment, and unmanned vehicle driving control methods, can solve problems such as limited sensing range, inaccurate prediction results and actual conditions, and unstable perception capabilities of unmanned vehicles. To achieve the effect of improving driving strategy

Pending Publication Date: 2022-03-29
云控智行科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of this specification provides an unmanned vehicle driving control method, device and electronic equipment, which are used to solve the instability of the unmanned vehicle's own perception ability in the prior art, and the limited range of perception leads to inaccurate prediction results and actual conditions. The problem

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 driving control method and device and electronic equipment
  • Unmanned vehicle driving control method and device and electronic equipment
  • Unmanned vehicle driving control method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] figure 1 It is a schematic flowchart of an unmanned vehicle driving control method provided in Embodiment 1.

[0037] A kind of unmanned vehicle driving control method that embodiment 1 provides, comprises the following steps:

[0038] S101. Acquire vehicle travel data of a target vehicle, where the target vehicle includes a vehicle traveling within a sensing range of a sensing device.

[0039] Specifically, the vehicle driving data of the target vehicle is acquired, and the vehicle driving data includes but not limited to: behaviors violating traffic rules, behaviors unfriendly to driving vehicles, and uncivilized driving behaviors.

[0040] The violations of traffic rules include but are not limited to: speeding behavior of the vehicle, lane changing behavior of the vehicle, frequent lane changing behavior of the vehicle, and emergency cut-in behavior of the vehicle.

[0041] The uncivilized driving behavior of the vehicle includes, but is not limited to: the throwi...

Embodiment 2

[0071] see figure 2 shown and image 3 as shown, figure 2 It is a schematic flow chart of an unmanned vehicle driving control method provided in Embodiment 2, image 3 It is a schematic diagram of a scene of an unmanned vehicle driving control method provided in Embodiment 2.

[0072] On the basis of embodiment 1, a kind of unmanned vehicle driving control method that embodiment 2 provides, comprises the following steps:

[0073] S201, acquiring vehicle driving data through a roadside sensing device, and scoring a category of driving aggressiveness of the target vehicle according to the vehicle driving data.

[0074] Specifically, the vehicle driving data of the target vehicle is acquired, and the vehicle driving data includes but not limited to: behaviors violating traffic rules, behaviors unfriendly to driving vehicles, and uncivilized driving behaviors.

[0075] The violations of traffic rules include but are not limited to: speeding behavior of the vehicle, lane chan...

Embodiment 3

[0099] see Figure 4 shown, Figure 4 It is a schematic structural diagram of an unmanned vehicle driving control device provided in Embodiment 3.

[0100] An unmanned vehicle driving control device provided in embodiment 3, comprising:

[0101] A data acquisition module 301, configured to acquire vehicle travel data of a target vehicle, where the target vehicle includes a vehicle traveling within the sensing range of the sensing device;

[0102] A scoring module 303, configured to score the driving aggressiveness of the target vehicle according to the vehicle driving data;

[0103] The score processing module 305 is configured to send the driving aggressiveness score of the target vehicle to the unmanned vehicle, so that the unmanned vehicle can make a driving strategy based on the driving aggressiveness score of the target vehicle.

[0104] The preset and judgment module is used to set the standard score. If the target vehicle has any behavior of violating traffic rules, ...

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 relates to the technical field of unmanned vehicle driving, in particular to an unmanned vehicle driving control method which comprises the following steps that vehicle driving data of target vehicles are obtained, and the target vehicles comprise vehicles driving within the sensing range of sensing equipment; performing driving aggressive degree scoring on the target vehicle according to the vehicle driving data; and issuing the driving aggressive degree score of the target vehicle to the unmanned vehicle, so that the unmanned vehicle makes a driving strategy for the driving aggressive degree score of the target vehicle.

Description

technical field [0001] The present application relates to the technical field of unmanned vehicle driving, and in particular to an unmanned vehicle driving control method, device and electronic equipment. Background technique [0002] The prediction function is a very important module in unmanned driving. It can predict the behavior of surrounding obstacles and help unmanned vehicles make correct operations. Unmanned vehicles make predictions based on their own perception data, or in combination with high-precision maps and their own positioning. Among them, the unmanned vehicle will calculate the prediction results through different neural network models based on the historical driving trajectory of the target vehicle, dynamic model, traffic signal and other vehicle interactions. [0003] Unmanned driving prediction is a very important module. In many cases, unmanned vehicles cannot make correct operations based on the perception data of the unmanned vehicle itself. Cont...

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): B60W60/00B60W40/10
CPCB60W60/0016B60W40/10B60W2554/404
Inventor 张浩阿拉坦套力古拉马令晨
Owner 云控智行科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap