PROBABILISTIC TARGET SELECTION AND THREAT ASSESSMENT METHOD AND APPLICATION TO INTERSECTION COLLISION ALERT SYSTEM

Patent №

US 9,250,324

Granted

2016-02-02

Filed 2013

Owner

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13901123

A system and method for providing target selection and threat assessment for vehicle collision avoidance purposes that employ probability analysis of radar scan returns. The system determines a travel path of a host vehicle and provides a radar signal transmitted from a sensor on the host vehicle. The system receives multiple scan return points from detected objects, processes the scan return points to generate a distribution signal defining a contour of each detected object, and processes the scan return points to provide a position, a translation velocity and an angular velocity of each detected object. The system selects the objects that may enter the travel path of the host vehicle, and makes a threat assessment of those objects by comparing a number of scan return points that indicate that the object may enter the travel path to the number of the scan points that are received for that object.

VisionG01S 13/931G01S 7/40G01S 7/41G01S 13/87G01S 7/4039G01S 2013/93185G01S 2013/93271

AI classification

Vision1.00
AI hardware0.11
Machine learning0.00
Knowledge representation0.00
Planning0.00
Speech0.00
Evolutionary computation0.00
Natural language0.00

Ownership

GM GLOBAL TECHNOLOGY OPERATIONS LLC

assignment · 304820659

From the same owner

© 2026 NYSGPT2525 LLC