Vehicle control method, device, equipment, storage medium and program product

A vehicle control, vehicle technology, applied in the computer field, can solve the problems of sensor information and brake delay, poor comfort and safety, large deceleration, etc.

Active Publication Date: 2021-08-20
AUTOMOTIVE INTELLIGENCE & CONTROL OF CHINA CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there is a delay in the sensor information and the brake itself, and when the body or part of the body of the vehicle on the side enters the lane of the vehicle and is recognized as the vehicle in front, the vehicle decelerates, which often produces a large deceleration, resulting in a Less comfort and safety

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 control method, device, equipment, storage medium and program product
  • Vehicle control method, device, equipment, storage medium and program product
  • Vehicle control method, device, equipment, storage medium and program product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] figure 1 It is a flow chart of the vehicle control method provided in Embodiment 1 of the present application. The method in this embodiment is applied to a vehicle control device. The vehicle control device may be a vehicle-mounted terminal, or a server device that remotely controls the vehicle. In other embodiments, the method may also be applied to other devices. The embodiment is schematically described by taking a vehicle control device as an example. Such as figure 1 As shown, the specific steps of the method are as follows:

[0035] Step S101. Obtain the vehicle driving environment data at the current moment. The vehicle driving environment data includes: the acceleration, speed and position of the vehicle, the acceleration, speed and relative position information of the vehicle in front, and the acceleration and speed of the vehicle on the side and relative position information with the vehicle.

[0036] In this embodiment, during the self-adaptive cruise co...

Embodiment 2

[0050] figure 2 It is a flow chart of the vehicle control method provided in Embodiment 2 of the present application. On the basis of the first embodiment above, in this embodiment, the next time period includes multiple times, and the vehicle driving environment data at any time in the next time period includes: at any time, the acceleration, speed and position of the vehicle, The acceleration, speed and relative position information of the vehicle in front, as well as the acceleration, speed and relative position information of the vehicle on the side. The neural network model can predict the vehicle driving environment data at the next moment based on the vehicle driving environment data at the current moment, and predict the vehicle driving environment data at the next moment based on the vehicle driving environment data at the next moment, so that the following can be obtained Vehicle driving environment data at multiple moments in a period of time.

[0051] Such as ...

Embodiment 3

[0108] Figure 4 It is a schematic structural diagram of the vehicle control device provided in Embodiment 3 of the present application. The vehicle control device provided in the embodiment of the present application may execute the processing procedure provided in the vehicle control method embodiment. Such as Figure 4 As shown, the vehicle control device 30 includes: a data acquisition module 301 , a prediction module 302 , a cut-in prediction module 303 and a vehicle control module 304 .

[0109] Specifically, the data acquisition module 301 is used to acquire the vehicle driving environment data at the current moment, the vehicle driving environment data includes: the acceleration, speed and position of the vehicle, the acceleration, speed and relative position information of the vehicle in front, and the relative position of the vehicle, and Acceleration, speed and relative position information of the vehicle on the side.

[0110] The prediction module 302 is used to...

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 control method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring vehicle driving environment data at the current moment, inputting the vehicle driving environment data at the current moment into a neural network model, determining relative position information of an inner side vehicle and the vehicle in the next time period, and according to the relative position information of the inner side vehicle and the vehicle in the next time period, if it is determined that the side vehicle is about to cut into the front of the vehicle in the next time period, determining the relative position information of the side vehicle and the vehicle in the cut-in process, so the intention that the side vehicle cuts into the front of the vehicle and the relative position information of the side vehicle and the vehicle in the cut-in process can be pre-judged in advance; according to the relative position information of the side vehicle and the vehicle when the side vehicle is switched in, controlling the vehicle to brake so that the vehicle can be decelerated in advance, emergency braking when the side vehicle is switched in front of the vehicle is avoided, and the comfort and safety of the vehicle are greatly improved.

Description

technical field [0001] The present application relates to computer technology, and in particular to a vehicle control method, device, equipment, storage medium and program product. Background technique [0002] During the driving process of the vehicle, it is often encountered that a side vehicle cuts into the front of the vehicle, or cuts out from the front of the vehicle to another lane, and other cut-in / cut-out scenarios. When driving, people will observe and predict the intention of side vehicles to cut into the front of the vehicle, and slow down in advance. [0003] During the Adaptive Cruise Control (ACC) process, the self-driving vehicle usually relies on the camera or millimeter wave to perceive the information of the vehicle in front. When the side vehicle cuts into the front of the vehicle, only when the side vehicle Or when part of the vehicle body enters the lane where the vehicle is located, the vehicle on the side is judged as the vehicle in front of the vehi...

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): B60W30/09B60W30/095
CPCB60W30/09B60W30/0953B60W30/0956B60W2520/10B60W2520/105B60W2554/4041B60W2554/4042B60W2554/4045
Inventor 荣志刚
Owner AUTOMOTIVE INTELLIGENCE & CONTROL OF CHINA CO LTD
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