Browse Prior Art Database

An accurate locating method on live scenery

IP.com Disclosure Number: IPCOM000246034D
Publication Date: 2016-Apr-27
Document File: 5 page(s) / 254K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method for accurately locating the target within short distance on the street. ​When users use the phone camera to search for the target, the target is virtualized/rendered upon the live street scenery to indicate target location, regardless of real-time obstacles or bad view caused by bad weather, poor light, etc. (the background is blurred automatically to highlight the target; the size of the virtual image reflects target distance.)

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 53% of the total text.

Page 01 of 5

An accurate locating method on live scenery

In a world that we are relying more and more on cab-booking Apps for commuting, we enjoy the convenience of the one-click and go cab services, yet the limitation of the current map technology cannot efficiently help the passenger locate the cab and help the driver locate the passenger. Sometimes, the app told me that the cab has arrived, it is just beside me, but where exactly is my cab!

You cannot find your cab because:

There is a crowd of cabs that are waiting for other passengers.

The light is so dim in the night that you just cannot see your cab.

From some angle, there is blocker between you and the cab (building, another car, or so), you cannot see it!


Not familiar with the surrounding environment, and not good at recognizing the map.

Sometimes, you and your cab are so close to each other, but you spend like 10 minutes and call the driver several times to find it! The experience is awful, not to say for users who are direction-blind.

A method for accurately locating the target within short distance on the street.

When users use the phone camera to search for the target, the target is virtualized/rendered upon the live street scenery to indicate target location, regardless of real-time obstacles or bad view caused by bad weather, poor light, etc. (the background is blurred automatically to highlight the target; the size of the virtual image reflects target distance.)

For example, in the following picture, the green car is actually blocked by a big truck, but using this method it can be rendered on the user's screen.

1



Page 02 of 5

Advantages

1.Eliminates the need to frequently refer to the map and verbal communication

2.Dynamically shows the location change for both parties

3.Reality-based: Displays real-time obstacles that cannot be shown on the map. What's seen on the camera is what users will get. 4.Highly independent of inaccurate map or bad view

real-time obstacles (such as other cars)

bad weather (such as haze)

poor light (such as night view)
poor eyesight, etc

poor road & map recognizing skill

5.Wide applicability

Can be applied to wearable devices such as intelligent glass and similar


Can be applied to virtual reality devices

Usage Scenario


1. You call a cab with cab booking app.

2



Page 03 of 5


2. The cab arrives, very close to your location, but you cannot find it in your vis...