Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Melvin H. Friedman"'
Publikováno v:
Journal of Advanced Transportation, Vol 2024 (2024)
This paper describes a traffic signal control strategy that allows motorists who travel at a recommended speed on suburban arterial two-way roads with a common cycle time to make every traffic signal. A road-to-traveler-feedback-device (RTFD) advises
Externí odkaz:
https://doaj.org/article/9eb99183c4d04abdb2e8bd3bd7275faf
Publikováno v:
SPIE Proceedings.
Reconnaissance from an unmanned aerial systems (UAS) is often done using video presentation. An alternate method is Serial Visual Presentation (SVP). In SVP, a static image remains in view until replaced by a new image at a rate equivalent to the liv
Autor:
Melvin H. Friedman
Publikováno v:
SPIE Proceedings.
The Networked Imaging Sensor (NIS) model takes as input target acquisition probability as a function of time for individuals or individual imaging sensors, and outputs target acquisition probability for a collection of imaging sensors and individuals
Autor:
Melvin H. Friedman
Publikováno v:
SPIE Proceedings.
The problem solved in this paper is easily stated: for a scenario with 𝑛 networked and moving imaging sensors, 𝑚 moving targets and 𝑘 independent observers searching imagery produced by the 𝑛 moving sensors, analytically model system targ
Autor:
Melvin H. Friedman
Publikováno v:
SPIE Proceedings.
In this paper the mean time to acquire a stationary target by n stationary imaging sensors is computed using probability theory by making use of the well established result that the detection time for a single imaging sensor is a random variable from
Publikováno v:
SPIE Proceedings.
The search problem discussed in this paper is easily stated: given search parameters (Ρ ∞ , τ) that are known functions of time, calculate how the probability of a single observer to acquire a target grows with time. This problem was solved analy
Autor:
Melvin H. Friedman, Joseph P. Reynolds
Publikováno v:
SPIE Proceedings.
In this paper we address these problems. 1) Two stationary observers with two sensors independently search for a stationary target. Each sensor is characterized by individual search parameters (p∞, τ) which are different either because the sensors
Publikováno v:
SPIE Proceedings.
The problem solved in this paper is easily stated: given search parameters (p∞, τ) that are known functions of time, calculate how the probability a single observer acquires a target grows with time. This problem has been solved analytically. In t
Publikováno v:
SPIE Proceedings.
Analytical Model 1 describes how long it takes the first observer to find a target when multiple observers search a field of regard using imagery provided by a single sensor. This model, developed using probability concepts, suggests considerable ben
Publikováno v:
SPIE Proceedings.
A model has been developed that predicts the probability of detection as a function of time for a sensor on a moving platform looking for a stationary object. The proposed model takes as input P (calculated from NVThermIP), expresses it as a function