Nanoantennas for uncooled, double-band, CMOS compatible, high-speed infrared sensors

2004 ◽  
Vol 32 (5) ◽  
pp. 425-430 ◽  
Author(s):  
Gábor Matyi
Author(s):  
M. Yang ◽  
K. Rim ◽  
D. Rogers ◽  
J. Schaub ◽  
J. Welser ◽  
...  
Keyword(s):  

1998 ◽  
Vol 45 (9) ◽  
pp. 2085-2088 ◽  
Author(s):  
Jyh-Jier Ho ◽  
Y.K. Fang ◽  
Kun-Hsien Wu ◽  
W.T. Hsieh ◽  
S.C. Huang ◽  
...  

2018 ◽  
Vol 4 (2) ◽  
pp. 1700561 ◽  
Author(s):  
Writam Banerjee ◽  
Xumeng Zhang ◽  
Qing Luo ◽  
Hangbing Lv ◽  
Qi Liu ◽  
...  
Keyword(s):  

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3821
Author(s):  
Yifang Shi ◽  
Sundas Qayyum ◽  
Sufyan Ali Memon ◽  
Uzair Khan ◽  
Junaid Imtiaz ◽  
...  

Target detection and tracking is important in military as well as in civilian applications. In order to detect and track high-speed incoming threats, modern surveillance systems are equipped with multiple sensors to overcome the limitations of single-sensor based tracking systems. This research proposes the use of information from RADAR and Infrared sensors (IR) for tracking and estimating target state dynamics. A new technique is developed for information fusion of the two sensors in a way that enhances performance of the data association algorithm. The measurement acquisition and processing time of these sensors is not the same; consequently the fusion center measurements arrive out of sequence. To ensure the practicality of system, proposed algorithm compensates the Out of Sequence Measurements (OOSMs) in cluttered environment. This is achieved by a novel algorithm which incorporates a retrodiction based approach to compensate the effects of OOSMs in a modified Bayesian technique. The proposed modification includes a new gating strategy to fuse and select measurements from two sensors which originate from the same target. The state estimation performance is evaluated in terms of Root Mean Squared Error (RMSE) for both position and velocity, whereas, track retention statistics are evaluated to gauge the performance of the proposed tracking algorithm. The results clearly show that the proposed technique improves track retention and and false track discrimination (FTD).


2002 ◽  
Author(s):  
Bonnie L. Gray ◽  
R. Moerman ◽  
L. Richard van den Doel ◽  
Heidi R. C. Dietrich ◽  
Ventzeslav P. Iordanov ◽  
...  
Keyword(s):  

Author(s):  
Victor J. Gonzalez-Villela ◽  
Eduardo U. Gonzalez-Zavala

The implementation of Drive-by-Wire systems is increasing due to their advantages. One of these advantages is the capability to be autonomous or semiautonomous. This paper investigates the collisions avoidance in a Steer-by-Wire and Differential Drive experimental vehicle. The Steer-by-Wire system is tested using the Ackerman formulation. Ackerman equations are modified in order to vary the vehicle’s steering ratio in function of the vehicle’s speed. As a result, better high speed vehicle’s control is achieved. The collision avoidance system works using infrared sensors around the vehicle, avoiding frontal and lateral collision. The distance to the obstacles is the parameter selected to avoid collisions (leaving the time for other actions like warnings to the driver). The fusion of the Autonomous Steer-by-Wire and the collisions avoidance system develops a semi-autonomous vehicle. This vehicle avoids collisions automatically, even if the driver does not avoid the collisions by himself, greatly reducing the probability of accidents.


2010 ◽  
Vol 19 (01) ◽  
pp. 173-189
Author(s):  
SEUNG-HUN YOO ◽  
CHANG-SUNG JEONG

Graphics processing unit (GPU) has surfaced as a high-quality platform for computer vision-related systems. In this paper, we propose a straightforward system consisting of a registration and a fusion method over GPU, which generates good results at high speed, compared to non-GPU-based systems. Our GPU-accelerated system utilizes existing methods through converting the methods into the GPU-based platform. The registration method uses point correspondences to find a registering transformation estimated with the incremental parameters in a coarse-to-fine way, while the fusion algorithm uses multi-scale methods to fuse the results from the registration stage. We evaluate performance with the same methods that are executed over both CPU-only and GPU-mounted environment. The experiment results present convincing evidences of the efficiency of our system, which is tested on a few pairs of aerial images taken by electro-optical and infrared sensors to provide visual information of a scene for environmental observatories.


1991 ◽  
Vol 38 (3) ◽  
pp. 322-326 ◽  
Author(s):  
H.W. Singor ◽  
C.A.T. Salama
Keyword(s):  

2002 ◽  
Vol 38 (2) ◽  
pp. 193-196 ◽  
Author(s):  
S.M. Csutak ◽  
J.D. Schaub ◽  
W.E. Wu ◽  
R. Shimer ◽  
J.C. Campbell

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