18460306. SYSTEMS AND METHODS FOR MAPPING BASED ON MULTI-JOURNEY DATA simplified abstract (QUALCOMM Incorporated)

SYSTEMS AND METHODS FOR MAPPING BASED ON MULTI-JOURNEY DATA

Organization Name

QUALCOMM Incorporated

Inventor(s)

Onkar Jayant Dabeer of Redmond WA (US)

Kiran Somasundaram of San Diego CA (US)

Radhika Dilip Gowaikar of San Diego CA (US)

Ravi Teja Sukhavasi of Fremont CA (US)

SYSTEMS AND METHODS FOR MAPPING BASED ON MULTI-JOURNEY DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18460306 titled 'SYSTEMS AND METHODS FOR MAPPING BASED ON MULTI-JOURNEY DATA

Simplified Explanation

The abstract describes a method performed by an apparatus that involves receiving map data based on image data and a similarity metric. The image data is obtained from two different vehicles and represents the same object. The similarity metric is associated with the object in both sets of image data. The method also includes storing the received map data and using it to localize the vehicle.

• The method involves receiving map data based on image data and a similarity metric.
• The image data is obtained from two different vehicles and represents the same object.
• The similarity metric is associated with the object in both sets of image data.
• The method includes storing the received map data.
• The stored map data is used to localize the vehicle.

Potential Applications

• Autonomous driving systems
• Vehicle navigation systems
• Object recognition and tracking systems

Problems Solved

• Accurate localization of vehicles using map data
• Efficient sharing of map data between vehicles
• Improved object recognition and tracking

Benefits

• Improved accuracy and reliability of vehicle localization
• Enhanced safety and efficiency in autonomous driving
• Better object recognition and tracking capabilities

Original Abstract Submitted

A method performed by an apparatus is described. The method includes receiving map data that is based on first image data, second image data, and a similarity metric. The first image data can be received from a first vehicle and represent an object. The second image data can be received from a second vehicle and represent the object. The similarity metric can be associated with the object represented in the first image data and the object represented in the second image data. The method can also include storing, by a vehicle, the received map data and localizing the vehicle based on the stored map data.