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 |
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.
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