Auto parking planning system and method

Patent metadata

Field	Value
Publication number	US-2023356710-A1
Application number	US-202217736762-A
Country	US
Kind code	A1
Filing date	May 4, 2022
Priority date	May 4, 2022
Publication date	Nov 9, 2023
Grant date	—

Abstract

An auto parking system of a vehicle is disclosed. The auto parking system includes a planner initialization module configured to perform sampling of both a start state representing a state of the vehicle and an end state representing a state of the parking target; a path planning module configured to perform tree iteration of a start tree from the start state and an end tree from the end state and connect nodes from the start tree and the end tree to generate path data; and a trajectory planning module configured to receive the path data from the path planning module and construct a trajectory of the vehicle based on the path data; where the start tree and end tree comprise two different types of tree structures.

First claim

What is claimed is:

1 . An auto parking system of a vehicle comprising:
a planner initialization module configured to perform sampling of both a start state representing a state of the vehicle and an end state representing a state of the parking target; a path planning module configured to perform tree iteration of a start tree from the start state and an end tree from the end state and connect nodes from the start tree and the end tree to generate path data; and a trajectory planning module configured to receive the path data from the path planning module and construct a trajectory of the vehicle based on the path data; where the start tree and end tree comprise two different types of tree structures.

2 . The auto parking system of claim 1 , wherein the start tree comprises a modified RRT* tree.

3 . The auto parking system of claim 1 , wherein the end tree comprises a modified hybrid A* tree.

4 . The auto parking system of claim 1 , wherein the path planning module comprises an occupancy grid map (OGM) module configured to perform state occupancy status checks and path collision free checks.

5 . The auto parking system of claim 1 , wherein the path planning module comprises a combo curve routing method module configured to use a set of combinations of straight lines and curve lines to form a solution space.

6 . The auto parking system of claim 5 , wherein the path planning module is further configured to calculate a collision-free path that connects a start state and an end state.

7 . The auto parking system of claim 1 , wherein the path planning module comprises a disk projection sampler module configured to perform tree sampling of the start tree.

8 . The auto parking system of claim 7 , wherein the disk projection sampler is configured to restrict a sampling range into a disk centered at a current state with fixed radius.

9 . The auto parking system of claim 7 , wherein the path planning module comprises a combo state sampler module configured to grow the end tree from the end state.

10 . The auto parking system of claim 9 , wherein the combo state sampler module is configured to set up a visited state list to prevent repetitious sampling of the end tree.

11 . The auto parking system of claim 1 , wherein the path planning module comprises a tree iteration module configured to conduct iterations of the start tree and the end tree.

12 . The auto parking system of claim 11 , wherein the tree iteration module conducts iterations of the end tree only when a number of nodes of the end tree is below a predefined threshold.

13 . The auto parking system of claim 1 , wherein the path planning module comprises a connection justification module configured to determine that the start tree and the end tree can be connected.

14 . The auto parking system of claim 13 , wherein the path planning module comprises a tree connection module configured to connect the start tree and the end tree if the connection justification module determines that the start tree and the end tree can be connected.

15 . The auto parking system of claim 1 , wherein the path planning module comprises a tree interpolation module configured to interpolate of the start tree and the end tree.

16 . The auto parking system of claim 15 , wherein the path planning module comprises a tree optimization module configured to generate a refined path pattern based on a connection between the start tree and the end tree resulting from the interpolation of the start tree and the end tree.

17 . The auto parking system of claim 16 , wherein the tree optimization module is configured to rewire according to CC routing using different vehicle turning radius.

18 . The auto parking system of claim 11 , wherein the trajectory planning module comprises a path data cleaning module configured to eliminate directional oscillation data.

19 . The auto parking system of claim 11 , wherein the trajectory planning module comprises a trajectory segmentation module configured to separate the path into segments based on a number of cusp points that are indicators of a fully stop and directional reversal.

20 . The auto parking system of claim 11 , wherein the trajectory planning module comprises:
a trajectory construction module configured to construct a trajectory of the vehicle using an S Curve method; and a trajectory smoothing module configured to smoothening the trajectory.

Assignees

• Faraday&Future Inc

Inventors

• Mei Aohan
• Zhang Chen
• Wang Fan

Classifications

• B60W30/06 Primary

  Automatic manoeuvring for parking · CPC title

• B60W50/00

  Details of control systems for road vehicle drive control not related to the control of a particular sub-unit {, e.g. process diagnostic or vehicle driver interfaces} · CPC title

• B60W2050/0019

  Control system elements or transfer functions · CPC title

• B60W2556/40

  High definition maps · CPC title

• B60W30/095

  Predicting travel path or likelihood of collision · CPC title