US 12,148,228 B2
Vehicle entry detection
Mingu Lee, Hwaseong (KR); Wonil Chang, Seoul (KR); Yeonseok Kim, Bucheon-si (KR); Kyu Woong Hwang, Daejeon (KR); Yin Huang, Beijing (CN); Ruowei Wang, Beijing (CN); Haijun Zhao, Beijing (CN); and Janghoon Cho, Seoul (KR)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Appl. No. 17/274,602
Filed by QUALCOMM Incorporated, San Diego, CA (US)
PCT Filed Oct. 8, 2019, PCT No. PCT/CN2019/109898
§ 371(c)(1), (2) Date Mar. 9, 2021,
PCT Pub. No. WO2020/073881, PCT Pub. Date Apr. 16, 2020.
Claims priority of application No. PCT/CN2018/109262 (WO), filed on Oct. 8, 2018.
Prior Publication US 2022/0067479 A1, Mar. 3, 2022
Int. Cl. G06V 20/59 (2022.01); G01C 21/36 (2006.01); G06N 3/02 (2006.01); G06N 7/01 (2023.01); G06V 10/764 (2022.01)
CPC G06V 20/59 (2022.01) [G01C 21/3688 (2013.01); G06N 3/02 (2013.01); G06N 7/01 (2023.01); G06V 10/764 (2022.01)] 30 Claims
OG exemplary drawing
 
1. A method for event state detection, comprising:
receiving a plurality of sensor signals at a computing device;
determining, at the computing device, probabilities of sub-event states based on the plurality of sensor signals using an artificial neural network for each of a plurality of time intervals; and
detecting, at the computing device, an event state based on the probabilities of the sub-event states via a state sequence model.