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

Vehicle self-adaptive virtual lane based front effective target selection system and method

A virtual lane and target selection technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of unsatisfactory accuracy and timeliness, and achieve the goal of improving safety, comfort and accuracy Effect

Active Publication Date: 2016-06-01
苏州安智汽车零部件有限公司
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using TTC for effective target selection still cannot meet the accuracy and timeliness under different working conditions

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 self-adaptive virtual lane based front effective target selection system and method
  • Vehicle self-adaptive virtual lane based front effective target selection system and method
  • Vehicle self-adaptive virtual lane based front effective target selection system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] A front effective target selection system based on the self-adaptive virtual lane provided by this embodiment includes:

[0050] The car virtual lane setting module is used to initialize the self-adaptive virtual lane to form the lane area and core area of ​​the car's virtual lane;

[0051] The virtual lane adaptive adjustment module is used for adaptive adjustment of the vehicle's virtual lane according to the vehicle's motion state information and vehicle radar information;

[0052] The effective target selection module is used to calculate the probability that the radar target is in the vehicle's lane according to the position of the vehicle's virtual lane where the radar target is located, and select an effective target.

[0053] The front effective target selection method based on the self-adaptive virtual lane of the vehicle in this embodiment includes the following steps:

[0054] (1) Initialize the adaptive virtual lane of the vehicle to form the lane area and co...

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 vehicle self-adaptive virtual lane based front effective target selection system and method. The front effective target selection system and method comprises the following steps that 1, a vehicle self-adaptive virtual lane is initialized, and a lane region and a core region of the vehicle self-adaptive virtual lane are formed; 2, self-adaptive adjustment is conducted on the vehicle self-adaptive virtual lane according to vehicle motion state information and vehicle-mounted radar information; 3, the probability that a radar target is located in the vehicle lane is calculated according to the position of the radar target located in the vehicle virtual lane, and effective target selection is performed. By means of the front effective target selection method, the problem of effective target selection in the front under multiple conditions is effectively solved, effective tracking of targets in the front can be achieved, effective targets can be caught or released in time when the motions of the targets in the front are remarkably changed, such as driving in or out of the vehicle lane, and the selection performance of the targets in the front is effectively improved.

Description

technical field [0001] The patent of the present invention belongs to the technical field of automobiles, and relates to a system and method for selecting effective targets ahead based on self-adaptive virtual lanes of the vehicle, which can be used in advanced driver assistance systems. Background technique [0002] Advanced Driver Assistance System (ADAS) has become an emerging active safety system in recent years. The driving assistance system can perceive the form environment of the car, and provide the driver with necessary information, safety warning and active control of the vehicle by monitoring the state of the car itself and the surrounding environment. At present, it mainly includes adaptive cruise control, lane departure warning system, forward collision avoidance warning system, automatic emergency braking system, etc. Advanced driver assistance systems are based on advanced sensing technologies such as radar and computer vision, which effectively improve drivi...

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): G06F19/00
CPCG16Z99/00
Inventor 郭健段文杰范达
Owner 苏州安智汽车零部件有限公司
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