Vehicle with computing means for monitoring and predicting traffic participant objects

US9104965B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9104965-B2
Application numberUS-201313735064-A
CountryUS
Kind codeB2
Filing dateJan 7, 2013
Priority dateJan 11, 2012
Publication dateAug 11, 2015
Grant dateAug 11, 2015

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Abstract

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An anticipatory monitoring and prediction system can include methods for generating effective, accurate predictions of other traffic objects in the vicinity of an ego-car. The invention proposes to combine approximate probability distributions (ADPs) of agent states with Attractor Functions (AFs) for generating distributed probabilistic representations of the potential future states of the observed traffic objects. AFs are selected based on both the current road context, in which the ego-car is situated, and the current states of all participating objects. The generated predictions can be used to filter incoming sensory information for better object state estimations, rate the nature of the behavior of other traffic objects by comparing generated predictions with actual perceived sensor information, or infer accident likelihoods by comparing the predicted state distributions of objects and the ego-car. Warning and information signals or control commands can be issued in a driving assistance system.

First claim

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The invention claimed is: 1. A method for predicting a state of at least one physical traffic object, the method including the steps of: generating sensorial information, based on the sensorial information, computing an approximate probability distribution of a current state of the at least one object represented in the sensorial information, and predicting a future state of the at least one object by updating the approximate probability distribution using standard Bayesian filt…

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What does patent US9104965B2 cover?
An anticipatory monitoring and prediction system can include methods for generating effective, accurate predictions of other traffic objects in the vicinity of an ego-car. The invention proposes to combine approximate probability distributions (ADPs) of agent states with Attractor Functions (AFs) for generating distributed probabilistic representations of the potential future states of the obse…
Who is the assignee on this patent?
Honda Res Inst Europe Gmbh
What technology area does this patent fall under?
Primary CPC classification G08G1/161. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 11 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).