Invention Grant
- Patent Title: Target grouping techniques for object fusion
- Patent Title (中): 目标分组技术用于对象融合
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Application No.: US14597108Application Date: 2015-01-14
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Publication No.: US09563808B2Publication Date: 2017-02-07
- Inventor: Shuqing Zeng , Kevin A. O'Dea , Dmitriy Feldman , James N. Nickolaou
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM Global Technology Operations LLC
- Current Assignee: GM Global Technology Operations LLC
- Current Assignee Address: US MI Detroit
- Agency: Miller IP Group, PLC
- Agent John A. Miller
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06T7/00

Abstract:
A method is disclosed for improved target grouping of sensor measurements in an object detection system. The method uses road curvature information to improve grouping accuracy by better predicting a new location of a known target object and matching it to sensor measurements. Additional target attributes are also used for improved grouping accuracy, where the attributes includes range rate, target cross-section and others. Distance compression is also employed for improved grouping accuracy, where range is compressed in a log scale calculation in order to diminish errors in measurement of distant objects. Grid-based techniques include the use of hash tables and a flood fill algorithm for improved computational performance of target object identification, where the number of computations can be reduced by an order of magnitude.
Public/Granted literature
- US20160203374A1 TARGET GROUPING TECHNIQUES FOR OBJECT FUSION Public/Granted day:2016-07-14
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