US 12,367,772 B2
Early warning and collision avoidance
Georges Aoude, Dubai (AE); Amer Abufadel, Dubai (AE); Karl Jeanbart, Dubai (AE); Rishabh Choudhary, Dubai (AE); and Ankit Sharma, Dubai (AE)
Assigned to DERQ Inc., Tortola (VG)
Filed by DERQ Inc., Tortola (VG)
Filed on Jul. 31, 2023, as Appl. No. 18/228,147.
Application 18/228,147 is a continuation of application No. 17/950,518, filed on Sep. 22, 2022, granted, now 11,763,678.
Application 17/950,518 is a continuation of application No. 17/671,681, filed on Feb. 15, 2022, abandoned.
Application 17/671,681 is a continuation of application No. 15/994,850, filed on May 31, 2018, granted, now 11,257,370, issued on Feb. 22, 2022.
Claims priority of provisional application 62/644,725, filed on Mar. 19, 2018.
Prior Publication US 2024/0203258 A1, Jun. 20, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G08G 1/16 (2006.01); G06N 5/046 (2023.01); G06N 20/00 (2019.01); G08G 1/005 (2006.01); G08G 1/01 (2006.01); G08G 1/017 (2006.01); G08G 1/052 (2006.01); G08G 1/09 (2006.01); G08G 1/0967 (2006.01); G08G 1/123 (2006.01)
CPC G08G 1/164 (2013.01) [G06N 5/046 (2013.01); G06N 20/00 (2019.01); G08G 1/005 (2013.01); G08G 1/0112 (2013.01); G08G 1/0116 (2013.01); G08G 1/0129 (2013.01); G08G 1/0137 (2013.01); G08G 1/0141 (2013.01); G08G 1/017 (2013.01); G08G 1/052 (2013.01); G08G 1/093 (2013.01); G08G 1/096716 (2013.01); G08G 1/096725 (2013.01); G08G 1/123 (2013.01); G08G 1/163 (2013.01); G08G 1/166 (2013.01); G08G 1/0175 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
using a visible-light camera located in a vicinity of a crosswalk that crosses a road to monitor an area in and nearby the crosswalk, the visible-light camera capturing a video of a vulnerable roadway user who is in or nearby the crosswalk;
determining a location and a movement direction of the vulnerable roadway user based on the video;
applying the location and the movement direction to a machine learning model running in equipment in the vicinity of the crosswalk to make a prediction that the vulnerable roadway users is about to enter the road in or nearby the crosswalk, the prediction being made prior to the vulnerable roadway user entering the road in or nearby the crosswalk,
wherein the machine learning model has been trained using motion data generated in the vicinity of the crosswalk, the motion data comprising at least one of location, speed, acceleration, and heading; and
before the vulnerable roadway user has entered the road in or nearby the crosswalk, causing a road sign to activate a light based on the prediction.