US 12,005,928 B2
Dangerous road user detection and response
Travis McCawley, Berkeley, CA (US); Christopher Ward, San Francisco, CA (US); Saranya Konala, San Francisco, CA (US); and Nikola Noxon, San Francisco, CA (US)
Assigned to GM Cruise Holdings LLC, San Francisco, CA (US)
Filed by GM Cruise Holdings LLC, San Francisco, CA (US)
Filed on Aug. 10, 2021, as Appl. No. 17/398,528.
Prior Publication US 2023/0052039 A1, Feb. 16, 2023
Int. Cl. B60W 60/00 (2020.01); B60K 35/00 (2006.01); B60W 40/04 (2006.01); B60W 50/14 (2020.01); G06N 20/00 (2019.01); B60K 35/10 (2024.01); B60K 35/28 (2024.01)
CPC B60W 60/0015 (2020.02) [B60K 35/00 (2013.01); B60W 40/04 (2013.01); B60W 50/14 (2013.01); B60W 60/0027 (2020.02); G06N 20/00 (2019.01); B60K 35/10 (2024.01); B60K 35/28 (2024.01); B60K 2360/11 (2024.01); B60K 2360/178 (2024.01); B60W 2050/146 (2013.01); B60W 2554/4046 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for detecting and responding to dangerous road users, the computer-implemented method comprising:
receiving, at an autonomous vehicle system, sensor data of a detected object from an autonomous vehicle;
generating, by the autonomous vehicle system, a three-dimensional (3D) bounding box around the detected object, wherein the 3D bounding box includes attributes, which comprise a dimension, a position, an orientation, a classification of the detected object, and a confidence of the 3D bounding box;
determining, by the autonomous vehicle system, whether the detected object is exhibiting a dangerous attribute based on a behavior of the detected object and the attributes of the 3D bounding box;
generating, by the autonomous vehicle system, output data based on the determining of whether the detected object is exhibiting the dangerous attribute; and
updating, by the autonomous vehicle system, a machine learning model based on the output data relating to the dangerous attribute.