US 11,685,400 B2 · Estimating danger from future falling cargo

Abstract

A method for estimating a future fall of a cargo, the method may include receiving by a computerized system, sensed information related to driving sessions of multiple vehicles; applying a machine learning process on the sensed information to detect actual or estimated cargo falling events and generate one or more future falling cargo predictors for multiple types of cargo; estimating, from the sensed information, an impact of cargo falling events related to at least some of the types of cargo; and responding to the estimating, wherein the responding comprises at least one out of (a) storing the one or more future falling cargo predictors for the multiple types of cargo, (b) transmitting the one or more future falling cargo predictors for the multiple types of cargo; (c) storing the estimated impact of cargo falling events related to the at least some of the types of cargo, and (d) transmitting the impact of cargo falling events related to the at least some of the types of cargo.

Claims14

Dependent claims

A method for estimating a future fall of a cargo conveyed by a monitored vehicle, the method comprising:

receiving, by a monitoring vehicle, one or more future falling cargo predictors for multiple types of cargo that were learnt by applying a machine learning process;
sensing, by at least one sensor of the monitoring vehicle, to provide monitoring results;
determining, by a processor that belongs to the monitoring vehicle, a cargo class carried by the monitored vehicle;
estimating, by the processor of the monitoring vehicle, and based on the cargo class and a future falling cargo predictor associated with the cargo class, whether the cargo conveyed by the monitored vehicle will fall before the monitoring vehicle will pass the monitored vehicle;
and
responding to the estimating, wherein the responding comprises amending, autonomously, a driving pattern of the monitoring vehicle during an autonomous driving of the vehicle.

3 more elements

A non-transitory computer readable medium for estimating a future fall of a cargo conveyed by a monitored vehicle, the non-transitory computer readable medium stores instructions for:

receiving, by a monitoring vehicle, one or more future falling cargo predictors for multiple types of cargo that were learnt by applying a machine learning process;
sensing, by at least one sensor of the monitoring vehicle, to provide monitoring results;
determining, by a processor that belongs to the monitoring vehicle, a cargo class carried by the monitored vehicle;
estimating, by the processor that belongs to the monitoring vehicle, and based on the cargo class and a future falling cargo predictor associated with the cargo class, whether the cargo conveyed by the monitored vehicle will fall before the monitoring vehicle will pass the monitored vehicle;
and
responding to the estimating, wherein the responding comprises amending, autonomously, a driving pattern of the monitoring vehicle during an autonomous driving of the vehicle.

3 more elements

Dependencies are inferred from the claim text.

Estimating danger from future falling cargo

Life of this patent

Estimating danger from future falling cargo

Life of this patent

Abstract

Claims14