US 12,139,150 B2
Electrical scooter alert
Boaz Mell, Petach Tikva (IL); Adam Harel, Tel Aviv (IL); and Igal Raichelgauz, Tel Aviv (IL)
Assigned to AUTOBRAINS TECHNOLOGIES LTD, Tel Aviv (IL)
Filed by AUTOBRAINS TECHNOLOGIES LTD, Tel Aviv (IL)
Filed on Jul. 23, 2021, as Appl. No. 17/443,315.
Claims priority of provisional application 62/705,956, filed on Jul. 23, 2020.
Prior Publication US 2022/0024468 A1, Jan. 27, 2022
Int. Cl. B60W 60/00 (2020.01); B60Q 9/00 (2006.01); B60W 50/00 (2006.01); G06F 18/23213 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01)
CPC B60W 50/0097 (2013.01) [B60Q 9/00 (2013.01); B60W 60/0015 (2020.02); B60W 60/0051 (2020.02); G06F 18/23213 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01); B60W 2300/365 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for electrical scooter alert, the method comprises:
sensing sensed information about an environment of a vehicle;
detecting, based on the sensed information, a situation related to the environment;
detecting, based on the sensed information, a electrical scooter within the environment;
predicting, using a machine leaning process and based in the situation, a future behavior of the electrical scooter and an impact of the future behavior of the electrical scooter on a future progress of the vehicle; and
responding to the predicting; and
wherein the machine learning is trained by a training process that comprises:
generating electrical scooter identifiers based on a first set of tagged sensed information units and a second set of untagged sensed information units;
monitoring behaviors of electrical scooters at multiple situations to provide monitoring results, wherein the monitoring comprises detecting one or more electrical scooter identifiers within sensed information units obtained during one or more monitoring periods; and
generating, based on the monitoring results, situation behavioral information indicative of behaviors of electrical scooters at different situations.