The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 19, 2026
Filed:
Jun. 11, 2021
Robert Bosch Gmbh, Stuttgart, DE;
Abinaya Kumar, Heimsheim, DE;
Fabio Cecchi, Menlo Park, CA (US);
Ravi Kumar Satzoda, Milpitas, CA (US);
Lisa Marion Garcia, Santa Clara, CA (US);
Mark Wilson, Pullman, WA (US);
Naveen Ramakrishnan, Campbell, CA (US);
Timo Pfrommer, Stuttgart, DE;
Jayanta Kumar Dutta, Sunnyvale, CA (US);
Juergen Johannes Schmidt, Magstadt, DE;
Tobias Wingert, Leonberg, DE;
Michael Tchorzewski, Böblingen, DE;
Michael Schumann, Stuttgart, DE;
Robert Bosch GmbH, Stuttgart, DE;
Abstract
A method and system is disclosed for tuning a machine learning classifier. An object class requirement may be provided and include rank thresholds. The object class requirements may also include a range goal that defines a minimum distance from the object the machine learning algorithm should not provide false positive results. A base classifier may be trained using a weighted loss function that includes one or more weight values that are computed using the one or more object class requirements. An output of the weighted loss function may be evaluated using an objective function which may be established using the one or more object class requirements. The one or more weights may also be re-tuned using the weighted loss function if the output of the weighted loss function does not converge within a predetermined loss threshold.