Lane changing trajectory planning method for unmanned vehicle based on vehicle-to-vehicle cooperation

A technology for unmanned vehicles and trajectory planning, applied in two-dimensional position/channel control, vehicle position/route/height control, motor vehicles, etc., can solve the problem of real-time control and real-time collision avoidance when it is difficult to change lanes And other issues

Active Publication Date: 2017-11-03
HEFEI UNIV OF TECH
View PDF7 Cites 74 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The lane-changing trajectory generated by the Bezier curve has a continuous radius of curvature, but control points need to be selected, which is only suitable for static planning, and it is difficult to realize real-time collision avoidance behavior in lane changing
The spline curve can re-plan the arc lane change trajectory and the sinusoidal lane change trajectory to overcome the shortcomings of the original curve, such as abrupt curvature and discontinuity, but it will lead to the inability to realize real-time control

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
  • Lane changing trajectory planning method for unmanned vehicle based on vehicle-to-vehicle cooperation
  • Lane changing trajectory planning method for unmanned vehicle based on vehicle-to-vehicle cooperation
  • Lane changing trajectory planning method for unmanned vehicle based on vehicle-to-vehicle cooperation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] like figure 1 As shown, when the main vehicle M is changing lanes, the surrounding vehicles mainly include the front vehicle L in the current lane o , the vehicle behind the current lane F o , the vehicle in front of the target lane L d and the vehicle behind the target lane L o . A lane-changing trajectory planning method for unmanned vehicles based on vehicle-vehicle coordination includes the following steps:

[0054] In the first step, the main vehicle sends a lane-changing request before changing lanes, and establishes the criteria for whether the surrounding vehicles accept the lane-changing request after receiving the lane-changing request signal sent by the main vehicle:

[0055] Car behind the current lane F o , the vehicle in front of the target lane L d If the current speed is kept at a constant speed and will not collide with the main vehicle, then accept the main vehicle’s lane change request and keep driving at the current speed until the main vehicle...

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 lane changing trajectory planning method for an unmanned vehicle based on vehicle-to-vehicle cooperation. In consideration of the vehicle lane changing complexity in an unmanned driving environment and characteristics of frequent turning and lane changing in urban road sections, a vehicle-to-vehicle cooperation policy and a trajectory planning method during the lane changing process are provided. With a lane changing cooperation policy and a quintic polynomial trajectory planning method as a basis and with vehicle kinematics and comfort as control conditions, a main vehicle lane changing trajectory optimization model under different cooperation degrees of a rear vehicle in the target lane is built; and besides, in consideration of defects of traditional elliptic and circular vehicle simulation models, through analyzing a boundary relationship between a possible collision point and a vehicle contour, a collision avoidance boundary condition under a rectangular vehicle model is built, and the vehicle lane changing trajectory model is tested through a scene. Under the vehicle-to-vehicle cooperation condition, safe vehicle lane changing under the unmanned driving environment can be completed, and requirements of lane changing comfort and kinematics can be met.

Description

technical field [0001] The invention belongs to the field of automobile active safety and assisted driving, and in particular relates to a lane-changing trajectory planning method for unmanned vehicles based on vehicle-vehicle coordination. Background technique [0002] In an unmanned driving environment, the vehicle's perception of the surrounding traffic state and the real-time trajectory control of the vehicle are important factors for the safe and efficient operation of unmanned vehicles. The trajectory control is to obtain a smooth and continuous curvature trajectory through trajectory planning, so as to meet the vehicle's motion characteristics and safety requirements. The existing trajectory planning is an extension of the path planning method in the field of robot research. One type is the global trajectory method, which proposes to find the global trajectory connecting the starting point to the target point. Since this type of method requires a comprehensive analysi...

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): G05D1/02
CPCG05D1/0214G05D1/0276G05D2201/0212
Inventor 董瑞娟柏海舰申剑峰赵一楠卫立阳
Owner HEFEI UNIV OF TECH
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