Vehicle positioning in intersection using visual cues, stationary objects, and gps

Patent metadata

Field	Value
Publication number	US-2016363647-A1
Application number	US-201514739789-A
Country	US
Kind code	A1
Filing date	Jun 15, 2015
Priority date	Jun 15, 2015
Publication date	Dec 15, 2016
Grant date	—

Abstract

A system and method for identifying the position and orientation of a vehicle. The method includes obtaining an environmental model of a particular location from, for example, a map database on the vehicle or a roadside unit. The method further includes detecting the position of the vehicle using GPS signals, determining range measurements from the vehicle to stationary objects at the location using radar sensors and detecting visual cues around the vehicle using cameras. The method includes registering the stationary objects and detected visual cues with stationary objects and visual cues in the environmental model, and using those range measurements to the stationary objects and visual cues that are matched in the environmental model to determine the position and orientation of the vehicle. The vehicle can update the environmental model based on the detected stationary objects and visual cues.

First claim

What is claimed is:

1 . A method for identifying a position and orientation of a mobile platform at a particular location, said method comprising:
obtaining an environmental model that includes stationary objects and visual cues at the particular location; detecting stationary objects at the particular location using sensors on the mobile platform; determining a distance from the mobile platform to stationary objects detected by the sensors; detecting visual cues around the mobile platform; matching the stationary objects detected by the sensors and the detected visual cues with stationary objects and visual cues in the environmental model; and identifying the position and orientation of the mobile platform using the distance of the matched stationary objects and the matched visual cues.

2 . The method according to claim 1 further comprising detecting the position of the mobile platform using GPS signals, wherein identifying the position and orientation of the mobile platform includes combining the detected position of the mobile platform using the GPS signals, the matched stationary objects and the matched visual cues.

3 . The method according to claim 1 wherein detecting visual cues around the mobile platform includes using one or more cameras on the vehicle.

4 . The method according to claim 3 wherein detecting visual cues around the mobile platform includes using a top down camera system.

5 . The method according to claim 1 wherein determining the distance from the mobile platform to stationary objects includes using radar sensors or Lidar sensors on the mobile platform.

6 . The method according to claim 1 wherein obtaining the environmental model includes obtaining the environmental model from a map database on the mobile platform.

7 . The method according to claim 1 wherein obtaining the environmental model includes obtaining the environmental model from a roadside unit located at the particular location.

8 . The method according to claim 1 wherein detecting stationary objects at the particular location includes determining that the stationary objects are stationary by the distance to the stationary objects from one sample point to another sample point.

9 . The method according to claim 1 wherein identifying the position and orientation of the mobile platform also includes using mobile platform speed and yaw rate data.

10 . The method according to claim 1 further comprising updating the environmental model by adding detected stationary objects that are not in the model and removing undetected stationary objects that are in the model.

11 . The method according to claim 1 wherein the particular location is an intersection.

12 . The method according to claim 11 wherein the stationary objects include light poles or sign posts.

13 . The method according to claim 11 wherein the visual cues include lane markings, crosswalks or stop bars.

14 . The method according to claim 11 wherein the visual cues include objects above a vanishing line.

15 . The method according to claim 1 further comprising tracking the position of the mobile platform as it travels between sample points.

16 . The method according to claim 1 wherein the mobile platform is a vehicle.

17 . A method for identifying a position and orientation of a vehicle at an intersection, said method comprising:
obtaining an environmental model that includes stationary objects and visual cues at the particular location, wherein the stationary objects include light poles or sign posts and the visual cues include lane markings, crosswalks or stop bars; detecting stationary objects at the particular location using radar or Lidar sensors on the vehicle; determining a distance from the vehicle to stationary objects detected by the sensors; detecting visual cues around the vehicle using one or more cameras on the vehicle; matching the stationary objects detected by the sensors and the detected visual cues with stationary objects and visual cues in the environmental model; detecting the position of the vehicle using GPS signals; and identifying the position and orientation of the vehicle using the GPS signals, the distance of the matched stationary objects and the matched visual cues.

18 . The method according to claim 17 wherein identifying the position and orientation of the mobile platform also includes using mobile platform speed and yaw rate data.

19 . A system for identifying a position and orientation of a vehicle at a particular location, said system comprising:
means for obtaining an environmental model that includes stationary objects and visual cues at the particular location; means for detecting stationary objects at the particular location using radar or Lidar sensors on the vehicle; means for determining a distance from the vehicle to stationary objects detected by the sensors; means for detecting visual cues around the vehicle using one or more cameras; means for matching the stationary objects detected by the sensors and the detected visual cues with stationary objects and visual cues in the environmental model; means for detecting the position of the vehicle using GPS signals; and means for identifying the position and orientation of the vehicle using the distance of the matched stationary objects and the matched visual cues.

20 . The system according to claim 19 further comprising means for detecting the position of the vehicle using GPS signals, wherein identifying the position and orientation of the vehicle includes combining the detected position of the vehicle using the GPS signals, the matched stationary objects and the matched visual cues.

Assignees

• Gm Global Tech Operations Llc

Inventors

• Zeng Shuqing
• Mudalige Upali Priyantha

Classifications

• B60W40/114

  Yaw movement · CPC title

• B60W2520/14

  Yaw · CPC title

• B60W2556/50

  of positioning data, e.g. GPS [Global Positioning System] data · 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

• B60W2520/10

  Longitudinal speed · CPC title