The purpose of this study is to propose a framework for accurate and efficient vehicle distance estimation from monocular camera. proposed consists transformer-based object detector, depth estimator, predictor. detector detects various objects that are mostly symmetrical an image captured by the camera provides type each coordinate information bounding box around object. estimator generates map...

An extension of the "prior density for path" (Onsager-Machlup functional) is defined and shown to exist for Gaussian fields generated by solutions of elliptic PDE's driven by white noise. This functional is then used to define and solve the MAP estimation of such fields observed via nonlinear noisy sensors. Existence results and a representation of the estimator are derived for this model. AMS ...

A new maximum a posteriori (MAP) equalizer is proposed for digital radio links affected by large multipath delays. The “sparse” nature of the channel, where a few nonzero powerful taps are spaced by many negligible taps, is exploited to achieve a complexity proportional to the number of nonzero taps. When the channel is time-varying, an efficient nonlinear Kalman-like channel estimator is emplo...

In a comparative map, the number of translocations in the evolutionary history of a chromosome can be estimated solely on the basis of the conserved syntenies it contains. This estimate, subtracted from the number of conserved segments, then allows the estimation of the number of inversions that have affected the chromosome. Summing these estimates over all chromosomes provides a startlingly ac...

Future experiments will produce high-resolution temperature maps of the cosmic microwave background ~CMB! and are expected to reveal the signature of gravitational lensing by intervening large-scale structures. We construct all-sky maximum-likelihood estimators that use the lensing effect to estimate the projected density ~convergence! of these structures, its power spectrum, and cross-correlat...

Real world Speaker Identification (SI) application differs from ideal or laboratory conditions causing perturbations that leads to a mismatch between the training and testing environment and degrade the performance drastically. Many strategies have been adopted to cope with acoustical degradation; wavelet based Bayesian marginal model is one of them. But Bayesian marginal models cannot model th...

Numerical experiments reveal that estimates of the Lyapunov exponent for the logistic map x t+1 = f(x t) = 4x t (1 ? x t) are anomalously precise: they are distributed with a standard deviation that scales as 1=N, where N is the length of the trajectory, not as 1= p N, the scaling expected from an informal interpretation of the central limit theorem. We show that this anomalous convergence foll...

The Self-Organizing Map (SOM) is a widely used data visualization tool in engineering applications. The algorithm performs a non-linear mapping from a highdimensional data space to a low-dimensional space, which is typically a two-dimensional, rectangular grid. This makes it possible to present multidimensional data in two dimensions. Often the model vectors of the SOM and a new data sample nee...

In this paper, a new method to estimate the parameter for turbo decoding using the maximum a posteriori probability (MAP) algorithm is proposed for a turbo code in a Rayleigh fading channel with imperfect channel estimation. This parameter is called the channel reliability factor and is related with the channel SNR. For channel estimation, pilot symbol assisted modulation (PSAM) is used and the...