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Dubins path planning

A sample code for Dubins path planning.

https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/DubinsPath/animation.gif?raw=True

Dubins path

Dubins path is a analytical path planning algorithm for a simple car model.

It can generates a shortest path between two 2D poses (x, y, yaw) with maximum curvature constraint and tangent(yaw angle) constraint.

Generated paths consist of 3 segments of maximum curvature curves or a straight line segment.

Each segment type can be categorized by 3 types: 'Right turn (R)' , 'Left turn (L)', and 'Straight (S).'

Possible path will be at least one of these six types: RSR, RSL, LSR, LSL, RLR, LRL.

Dubins path planner can output each segment type and distance of each course segment.

For example, a RSR Dubins path is:

RSR.jpg

Each segment distance can be calculated by:

\alpha = mod(-\theta)

\beta = mod(x_{e, yaw} - \theta)

p^2 = 2 + d ^ 2 - 2\cos(\alpha-\beta) + 2d(\sin\alpha - \sin\beta)

t = atan2(\cos\beta - \cos\alpha, d + \sin\alpha - \sin\beta)

d_1 = mod(-\alpha + t)

d_2 = p

d_3 = mod(\beta - t)

where \theta is tangent and d is distance from x_s to x_e

A RLR Dubins path is:

RLR.jpg

Each segment distance can be calculated by:

t = (6.0 - d^2 + 2\cos(\alpha-\beta) + 2d(\sin\alpha - \sin\beta)) / 8.0

d_2 = mod(2\pi - acos(t))

d_1 = mod(\alpha - atan2(\cos\beta - \cos\alpha, d + \sin\alpha - \sin\beta) + d_2 / 2.0)

d_3 = mod(\alpha - \beta - d_1 + d_2)

You can generate a path from these information and the maximum curvature information.

A path type which has minimum course length among 6 types is selected, and then a path is constructed based on the selected type and its distances.

Code Link

.. autofunction:: PathPlanning.DubinsPath.dubins_path_planner.plan_dubins_path


Reference