Vehicle driver assist system
AssigneeTRW Automotive U.S. LLC
InventorGregory L. Ratcliffe
Life of this patent
Estimating the term…
Abstract
A vehicle driver assist system includes an expert evaluation system to fuse information acquired from various data sources. The data sources can correspond to conditions associated with the vehicle as a unit as well as external elements. The expert evaluation system monitors and evaluates the information from the data sources according to a set of rules by converting each data value into a metric value, determining a weight for each metric, assigning the determined weight to the metric, and generating a weighted metric corresponding to each data value. The expert evaluation system compares each weighted metric (or a linear combination of metrics) against one or more thresholds. The results from the comparison provide an estimation of a likelihood of one or more traffic features occurring.
Claims3
A method for implementing a vehicle decision making system on a computer readable medium configured to execute machine readable instructions on a processor, the instructions comprising:
- collecting data from a plurality of sensors;
- analyzing the data by a plurality of analysis components;
- converting the analyzed data from the plurality of analysis components to produce respective standardized metrics at an expert evaluation system;
- assigning weights to each standardized metric at the expert evaluation system;
- comparing a sum of the weighted metrics to a threshold to estimate a likelihood of the occurrence of a traffic feature;
- and
- generating a response at a vehicle associated with the vehicle decision making system based on the estimated likelihood of the occurrence of the traffic feature.
A vehicle decision making system comprising:
- a plurality of sensors to collect data;
- an expert evaluation system configured to:
- convert the collected data from a subset of the plurality of sensors into respective metrics;
- determine a weight for each metric;
- compare a linear combination of the metrics, using the determined weights, to a threshold to estimate a likelihood of the occurrence of a traffic feature;
- and
- generate a response for a safety feature of at a vehicle associated with the vehicle decision making system from the comparison of the linear combination to the threshold.
Dependencies are inferred from the claim text.