Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may implement, in whole or in part, techniques to process portions of an image frame according to a level of diminished signal information. Portions of an image frame experiencing diminished signal information may be sampled a lower rate/more sparsely to reduce impacts to downstream image processing resources.

Abstract: A method of detecting objects located in an environment around a vehicle, comprises the steps of obtaining a 2D image of a scene from an image capture device fitted to the vehicle, generating a set of particles that each comprise a set of parameters that define the state of at least one object that may be present in the scene, calculating an edge strength and edge direction for each pixel of the captured 2D image; and for each particle in the set: generating a 3D probabilistic model of the object that is associated with the particle, the model defining a set of edges of the object, each edge in the model defined by at least one likelihood function defining a probabilistic distribution of at least one characteristic of the edge, mapping the likelihood functions of the probabilistic model into the 2D plane of the captured image as a function of the parameters of the particle; and processing the edge strength and edge direction values with the probability values to determine the likelihood that the particle defi

Abstract: A method of detecting objects located in an environment around a vehicle, comprises the steps of obtaining a 2D image of a scene from an image capture device fitted to the vehicle, generating a set of particles that each comprise a set of parameters that define the state of at least one object that may be present in the scene, calculating an edge strength and edge direction for each pixel of the captured 2D image; and for each particle in the set: generating a 3D probabilistic model of the object that is associated with the particle, the model defining a set of edges of the object, each edge in the model defined by at least one likelihood function defining a probabilistic distribution of at least one characteristic of the edge, mapping the likelihood functions of the probabilistic model into the 2D plane of the captured image as a function of the parameters of the particle; and processing the edge strength and edge direction values with the probability values to determine the likelihood that the particle defi