US 11,952,007 B1
Methods and systems for detecting blind spots
Noah Sharkus, Grosse Ile, MI (US); Prabhjot Kaur, Auburn Hills, MI (US); and Nicholas Constantine Sidiropoulos, Fraser, MI (US)
Assigned to GM GLOBAL TECHNOLOGY OPERATIONS LLC, Detroit, MI (US)
Filed by GM GLOBAL TECHNOLOGY OPERATIONS LLC, Detroit, MI (US)
Filed on Oct. 3, 2022, as Appl. No. 17/937,533.
Int. Cl. B60W 50/14 (2020.01); B60W 40/04 (2006.01); B60W 40/08 (2012.01); B60W 60/00 (2020.01)
CPC B60W 50/14 (2013.01) [B60W 40/04 (2013.01); B60W 40/08 (2013.01); B60W 60/001 (2020.02); B60W 2540/223 (2020.02); B60W 2554/4041 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A method for detecting a blind spot area of a vehicle, comprising:
receiving, by a processor, head position data indicating a position of a head of a driver of the vehicle;
determining, by the processor, pillar position data associated with at least one pillar of the vehicle, wherein the pillar position data includes a coordinate of a first point associated with a first edge of the at least one pillar and a coordinate of a second point associated with a second edge of the at least one pillar, wherein the first edge is a front edge that faces a forward direction of the vehicle, and wherein the second edge is a back edge that faces a backward direction of the vehicle;
determining, by the processor, at least one angle based on the head position data and the pillar position data, wherein the determining the at least one angle is based on:

OG Complex Work Unit Math
where Hxy represents the coordinates of the position of the head of the driver, Axy represents the coordinates of the position of the front edge of the at least one pillar, and Bxy represents the position of the back edge of the at least one pillar;
determining, by the processor, at least one blind spot area based on the at least one angle;
detecting, by the processor, at least one object within the at least one blind spot area; and
generating at least one of notification data, decision data, and control data based on the at least one object.