US 12,344,263 B2
Bump alert
Boaz Mell, Petach Tikva (IL); and Igal Raichelgauz, Tel Aviv (IL)
Assigned to AUTOBRAINS TECHNOLOGIES LTD, Tel Aviv (IL)
Filed by AUTOBRAINS TECHNOLOGIES LTD, Tel Aviv-Yaffo (IL)
Filed on Feb. 15, 2021, as Appl. No. 17/176,136.
Claims priority of provisional application 62/706,158, filed on Aug. 3, 2020.
Prior Publication US 2022/0032941 A1, Feb. 3, 2022
Int. Cl. B60W 50/14 (2020.01); B60W 30/14 (2006.01); B60W 40/06 (2012.01); G06F 18/24 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06V 20/40 (2022.01); G06V 20/56 (2022.01)
CPC B60W 50/14 (2013.01) [B60W 30/143 (2013.01); B60W 40/06 (2013.01); G06F 18/24 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 20/49 (2022.01); G06V 20/56 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2420/54 (2013.01); B60W 2554/20 (2020.02); B60W 2554/80 (2020.02); G06V 20/44 (2022.01)] 12 Claims
OG exemplary drawing
 
1. A method of bump alert generation for driving, the method comprises:
receiving, by a vehicle computerized system, a visual bump indicator that is visible before driving over a bump;
obtaining sensed information regarding an environment of a vehicle;
processing the sensed information, wherein the processing comprises:
processing, by applying a machine learning process using signatures generated at an iterative process, selected video information segments of the sensed information; and
searching, by the machine learning process, for a signature representing the visual bump indicator based on the processed selected video information segments;
determining whether the vehicle approaches the bump;
generating, based on the determining, a bump alert indication;
determining, in response to the generating, a recommended driving behavior by applying, at the machine learning process, a weighted sum of a top frequency of occurrences of driving behaviors of vehicles captured in video information and telemetric information obtained during driving sessions of the vehicles when approaching bumps; and
applying the recommended driving behavior, wherein the applying comprises controlling at least one of a speed and a direction of driving of the vehicle, wherein the recommended driving behavior is a weighted sum of two or more top frequency of occurrences driving behaviors of a plurality of driving behaviors of vehicles when approaching bumps, the driving behaviors are captured in video information and telemetric information obtained during driving sessions of the vehicles,
wherein the recommended driving behavior is indicative of at least one of a controlled driving speed of the vehicle, and a direction of driving of the vehicle.