US 11,688,174 B2 · System and method for determining vehicle data set familiarity

Abstract

The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Claims20

Dependent claims

A vehicle control unit comprising:

an input configured to receive vehicle sensor data;
and
a control unit coupled to the input, wherein the control unit is configured to:
receive vehicle sensor data captured by at least one sensor of the vehicle, the vehicle sensor data generated by at least one perception sensor of a vehicle;
run a scene detection operation on the vehicle sensor data to derive a vector of target object attributes of the vehicle sensor data;
compare the vector of target object attributes against a cluster of a vector data model of a trained vehicle data set;
and
identify significant scenario data based on a divergence between the vector of target object attributes and the cluster, wherein the significant scenario data identifies at least one target object of the vehicle sensor data.

5 more elements

A method for identifying significant scenario data by a control unit of a vehicle, the method comprising:

receiving, by a control unit, vehicle sensor data captured by at least one sensor of the vehicle, the vehicle sensor data generated by at least one perception sensor of a vehicle;
running, by the control unit, a scene detection operation on the vehicle sensor data to derive a vector of target object attributes of the vehicle sensor data;
comparing, by the control unit, a vector representation for the scene detection operation with a familiarity vector of a trained vehicle data set, wherein the vector representation is a representation of effectiveness of the scene detection operation in identifying target object attributes of the vehicle sensor data;
identifying, by the control unit, significant scenario data based on the vector representation, wherein the significant scenario identifies at least one target object of the vehicle sensor data;
adding, by the control unit, the significant scenario data to a resultant data set;
and
updating, by the control unit, a clustering of the trained vehicle data set based on the resultant data set.

4 more elements

Dependencies are inferred from the claim text.

System and method for determining vehicle data set familiarity

Life of this patent

System and method for determining vehicle data set familiarity

Life of this patent

Abstract

Claims20