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US 11,029,685 B2Granted
Autonomous risk assessment for fallen cargo
AssigneeCartica Ai Ltd
InventorsIgal Raichelgauz, Karina Odinaev
Life of this patent
Estimating the term…
Abstract
A method for detecting fallen 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 fallen cargo and to classify the fallen cargo to fallen cargo classes; estimating, from the sensed information, an impact of at least some of the fallen cargo classes on a behavior of at least some of the multiple vehicles; and determining, based on the impact, at least one suggested vehicle behavior as a response to a detection of at least some of the fallen cargo classes.
Claims19
A method for detecting fallen cargo, the method comprises:
- 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 multiple fallen cargo items and to classify each of the multiple fallen cargo items to a fallen cargo class out of fallen cargo classes;
- estimating, from the sensed information, an impact of each fallen cargo class of at least two of the fallen cargo classes on a behavior of each vehicle of at least two of the multiple vehicles;
- and
- determining, based on the impact, at least one suggested vehicle behavior as a response to a detection of each fallen cargo class of the at least two fallen cargo classes;
- wherein the estimating of the impact comprises estimating a level of danger associated with each fallen cargo class of at least two of the fallen cargo classes;
- and
- wherein for each vehicle of the at least two of the multiple vehicles, the estimating of the level of danger is responsive to a rate of deviation of the vehicle from a previous propagation direction of the vehicle, wherein the previous propagation direction of vehicle is a direction of propagation of the vehicle before reaching a fallen cargo of a class of at least two of the fallen cargo classes.
5 more elements
A non-transitory computer readable medium that stores instructions for:
- 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 multiple fallen cargo items and to classify each of the multiple fallen cargo items to a fallen cargo class out of fallen cargo classes;
- estimating, from the sensed information, an impact of each fallen cargo class of at least two of the fallen cargo classes on a behavior of each vehicle of at least two of the multiple vehicles;
- and
- suggesting, based on the impact, at least one suggested vehicle behavior as a response to a detection of each fallen cargo class of the at least two fallen cargo classes
- wherein the estimating of the impact comprises estimating a level of danger associated with each fallen cargo class of at least two of the fallen cargo classes;
- and
- wherein for each vehicle of the at least two of the multiple vehicles, the estimating of the level of danger is responsive to a rate of deviation of the vehicle from a previous propagation direction of the vehicle, wherein the previous propagation direction of vehicle is a direction of propagation of the vehicle before reaching a fallen cargo of a class of at least two of the fallen cargo classes.
5 more elements
A computerized system that comprises a processor and multiple units that are configured to
- receive sensed information related to driving sessions of multiple vehicles;
- apply a machine learning process on the sensed information to detect multiple fallen cargo items and to classify each of the multiple fallen cargo items to a fallen cargo class out of fallen cargo classes;
- estimate, from the sensed information, an impact of each fallen cargo class of at least two of the fallen cargo classes on a behavior of each vehicle of at least two of the multiple vehicles;
- and
- suggest, based on the impact, at least one suggested vehicle behavior as a response to a detection of each fallen cargo class of the at least two fallen cargo classes
- wherein the estimating of the impact comprises estimating a level of danger associated with each fallen cargo class of at least two of the fallen cargo classes;
- and
- wherein for each vehicle of the at least two of the multiple vehicles, the estimating of the level of danger is responsive to a rate of deviation of the vehicle from a previous propagation direction of the vehicle, wherein the previous propagation direction of vehicle is a direction of propagation of the vehicle before reaching a fallen cargo of a class of at least two of the fallen cargo classes.
5 more elements
Dependencies are inferred from the claim text.