US 12,080,159 B2
Systems and methods for detecting intersection crossing events using full frame classification techniques
Biswarup Debnath, Howrah (IN); Suresh Babu Yanamala, Bengaluru (IN); Arvind Yedla, La Jolla, CA (US); and Venkata Sreekanta Reddy Annapureddy, San Diego, CA (US)
Assigned to NETRADYNE, INC., San Diego, CA (US)
Appl. No. 18/288,157
Filed by NETRADYNE, INC., San Diego, CA (US)
PCT Filed Jun. 8, 2022, PCT No. PCT/US2022/032630
§ 371(c)(1), (2) Date Oct. 24, 2023,
PCT Pub. No. WO2022/261175, PCT Pub. Date Dec. 15, 2022.
Claims priority of provisional application 63/208,868, filed on Jun. 9, 2021.
Prior Publication US 2024/0203244 A1, Jun. 20, 2024
Int. Cl. G08G 1/01 (2006.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01); G06V 20/58 (2022.01)
CPC G08G 1/0112 (2013.01) [G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 20/44 (2022.01); G06V 20/584 (2022.01); G08G 1/0133 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for classifying traffic indicators to detect intersection crossings by a vehicle, the method comprising:
receiving, by one or more processors coupled to a memory, a sequence of frames captured by an image capture device mounted to the vehicle;
generating, by the one or more processors, an intersection status data structure for each frame in the sequence of frames using a full-frame classification model trained on a labeled dataset of frames depicting roadways, wherein each label of the labeled dataset used to train the full-frame classification model is applied to a full image frame;
classifying, by the one or more processors, using an object detection model, a set of features detected in each frame of the sequence of frames; and
detecting, by the one or more processors, an intersection crossing event based on the intersection status data structure of each frame and the classification of each of the set of features detected in each frame.