Environmental cognition and decision-making control method, system and vehicle based on unmanned vehicle

An unmanned vehicle and control method technology, applied in the field of unmanned vehicle environmental cognition, that is, decision control, can solve problems such as poor driving experience, time difference, and increased safety risks, so as to increase confidence, improve driving experience, and improve driving experience. The effect of improving judgment and prediction ability

Active Publication Date: 2022-07-08
CHONGQING CHANGAN AUTOMOBILE CO LTD
View PDF23 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering that sensor to control execution needs to go through several stages of sensor fusion, decision planning and control, plus the delay of the brake actuator itself, there will be a significant gap between the driver's perceived risk and the actual braking of the autonomous vehicle. time difference, resulting in poor actual driving experience and increased safety risks

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
  • Environmental cognition and decision-making control method, system and vehicle based on unmanned vehicle
  • Environmental cognition and decision-making control method, system and vehicle based on unmanned vehicle
  • Environmental cognition and decision-making control method, system and vehicle based on unmanned vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0220] The present invention will be further described below in conjunction with the accompanying drawings.

[0221] In this embodiment, a method for environmental cognition and decision-making control based on an unmanned vehicle includes the following steps:

[0222] Screening and numbering of targets within the sensor's region of interest;

[0223] Track and predict motion trends for vehicles with different numbers;

[0224] Set the pressure line boundary action line of the target;

[0225] Set potential target pressure line boundary action line;

[0226] Calculate the danger level of the target;

[0227] Follow-up target decision;

[0228] Potentially hazardous target decisions.

[0229] In this embodiment, the sensor region of interest is defined according to the following rules:

[0230] The area within 3 times the time distance from the center of the front bumper of the vehicle as the origin, including the area within 3 times the time distance in the longitudinal ...

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 a method, system and vehicle for environment cognition and decision-making control based on unmanned vehicles, comprising: screening and numbering targets in the area of ​​interest of sensors; tracking and predicting motion trends of vehicles with different numbers; Set the target's pressure line boundary action line; set the potential target pressure line boundary action line; calculate the danger degree of the target; follow the target decision; potentially dangerous target decision. The invention improves the scene adaptability of the unmanned vehicle, and improves the riding experience of passengers on the premise of ensuring driving safety.

Description

technical field [0001] The invention belongs to the technical field of unmanned vehicle environment cognition, namely decision control, and in particular relates to a method, system and vehicle based on unmanned vehicle environment cognition and decision control. Background technique [0002] In the current engineering application field, the target of following the car for autonomous driving is generally the No. 1 target output by the sensor supplier. The limitation of car-following control based on target No. 1 is that it is difficult to avoid collision in dangerous conditions with target cut-in. Especially in urban congestion conditions, the L2 or L2+ autonomous driving models that have been mass-produced currently mainly use a rule-based algorithm architecture. It is difficult to achieve effective identification and timely braking for the working conditions where vehicles cut in at close range, so the passive takeover rate is over 70%, which has a great impact on user co...

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 Patents(China)
IPC IPC(8): B60W30/165B60W40/06B60W40/105B60W40/107B60W40/109B60W40/12B60W50/00
CPCB60W30/165B60W40/06B60W40/105B60W40/107B60W40/109B60W40/12B60W50/0098B60W2520/10B60W2520/105B60W2520/12B60W2520/125B60W2530/201B60W2520/06B60W2552/53B60W2554/801B60W2554/802B60W2554/803B60W2554/804
Inventor 邱利宏王晟徐榕游虹蔡张跃谭秀全
Owner CHONGQING CHANGAN AUTOMOBILE 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