Yuri Owechko

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Driver workload estimation (DWE) refers to the activities of monitoring a driver and the driving environment in real-time and acquiring the knowledge of the driver's workload continuously. With this knowledge of the driver's workload, the in-vehicle information systems (IVIS) can provide information on when the driver has the spare capacity to receive and(More)
We present algorithms for fast segmentation and classification of sparse 3D point clouds from rotating LIDAR sensors used for real-time applications such as autonomous mobile systems. Such systems must continuously process large amounts of data with update rates as high as 10 frames per second which makes complexity and performance of the algorithms very(More)
We describe a shift-invariant all-optical holographic associative memory implemented using phase conjugate mirrors and Fourier transform holograms. A key feature of our system is the large storage capacity obtained through the use of nonlinearities in the correlation domain. The use of angularly multiplexed plane wave reference beams allows access to the(More)
In this paper, we describe a new method for visual recognition of objects in an image that combines feature-based object classification with efficient search mechanisms based on swarm intelligence. Our approach utilizes the particle swarm optimization algorithm (PSO), a population based evolutionary algorithm, which is effective for optimization of a wide(More)
An associative memory is described which utilizes a hologram in a hybrid optoelectronic resonator. The nonlinear end mirrors of the resonator are two sets of video detectors and spatial light modulators which act as pseudoconjugators. The transformation properties of the end mirrors are programmable which allows the real-time selection of various(More)
Visual attention helps identify the salient parts of a scene and enables efficient object recognition by allocating visual resources to more relevant regions of the scene. In this paper, we present an object recognition framework that combines top-down volitional recognition with attention processes using a swarm of cooperating intelligent agents. Each(More)