Zobrazeno 1 - 10
of 21
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:
Optical Engineering. 58:1
Typically, search research papers assume that target acquisition is described by an exponential distribution. We investigate when this assumption is valid. It is obvious that two people are more effective than one person at finding a target, but how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a807f011303fccc578a5ae135d4e4ef
https://doi.org/10.1117/1.oe.58.9.093103
https://doi.org/10.1117/1.oe.58.9.093103
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d502325f023911b75c9883ee2453222a
https://doi.org/10.1117/12.2224796
https://doi.org/10.1117/12.2224796
Autor:
Melvin H. Friedman
Publikováno v:
SPIE Proceedings.
This paper deals with three separate topics. 1)The Berek extended object threshold detection model is described, calibrated against a portion of Blackwell’s 1946 naked eye threshold detection data for extended objects against an unstructured backgr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e1f545f01334146d19800eccc14b21d
https://doi.org/10.1117/12.2224183
https://doi.org/10.1117/12.2224183
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e477bb847809fb2bf1e31435780a5f70
https://doi.org/10.1117/12.2178418
https://doi.org/10.1117/12.2178418
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83d1bf36901453a102853ac9d8426ab6
https://doi.org/10.1117/12.2054695
https://doi.org/10.1117/12.2054695
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f0320fb13b4cc30bb44e70848924cd9
https://doi.org/10.1117/12.2018349
https://doi.org/10.1117/12.2018349
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ea28412fe10b1e1ce4b6e8a137b353
https://doi.org/10.1117/12.921020
https://doi.org/10.1117/12.921020
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190e37b5c25486be373050edf0620335
https://doi.org/10.1117/12.885163
https://doi.org/10.1117/12.885163
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6c6feb303fa7454b4dd5ef2e9e369b
https://doi.org/10.1117/12.885161
https://doi.org/10.1117/12.885161