This proceedings contains 27 papers. These conferences provide a general discussion and dissemination for researchers and designers of recent advances in field of Multisensor, Multisource Information fusion: Architect...
ISBN:
(纸本)9780819490858
This proceedings contains 27 papers. These conferences provide a general discussion and dissemination for researchers and designers of recent advances in field of Multisensor, Multisource Information fusion: architectures, algorithms, and applications. Papers published were categorized under seven sessions, i.e. Session 1: Information fusion Approaches and algorithms with 4 papers;Session 2: Information fusion Approaches and algorithms II with 3 papers;Session 3: Information fusion in Robotics with 6 papers;Session 4: Information fusion Approaches and algorithmsiii (biometrics-related) with 3 papers;Session 5: Image fusion with 3 papers;Session 6: Information fusion Approaches and algorithms IV (human-in-the-loop) with 5 papers;Session 7: Information fusion Systems and Evaluation Measures with 2 papers. Besides, a paper was published as poster session. The key terms of the proceeding papers include sensorfusion;Intensity interferometry;Data Association;Intrusion protection;Network trace generators;Bayesian fusion;Layered sensing systems.
In this paper we describe the nature of the problem of surveillance of airport surface movement. We describe the characteristics, performance, and unique problems of various airport sensors available, and the need to ...
详细信息
ISBN:
(纸本)0819444812
In this paper we describe the nature of the problem of surveillance of airport surface movement. We describe the characteristics, performance, and unique problems of various airport sensors available, and the need to develop a fusion system to provide an integrated surveillance picture. Parallel sensorfusion developments are described in terms of their applicability to the sensorfusion task in surface surveillance. Paradigms for sensorfusion, including alternative architectures, algorithms, and performance metrics will be described. Finally we describe system implementation and quantitative performance of sensorfusion applied to the surface surveillance problem at demonstrations in Atlanta Hartsfield International Airport (1998, ATL), Dallas Fort Worth International Airport (1999, 2000, DFW), and in-process and planned future developments in sensorfusion.
Our research group is using chess as a vehicle for studying the fusion of adaptation, multiple representation, and search technologies for real-time decision making. Chess systems like Deep Blue have achieved Grandmas...
详细信息
ISBN:
(纸本)0819436771
Our research group is using chess as a vehicle for studying the fusion of adaptation, multiple representation, and search technologies for real-time decision making. Chess systems like Deep Blue have achieved Grandmaster chess play with a brute-force search of the game tree and human-supplied information, like piece-values and opening books. However, subtle aspects of chess, including positional features and advanced concepts, are not capable of being represented or processed efficiently with the standard method. Since 1989, Morph I-iii have exhibited more autonomy and learning ability than traditional chess programs in "adaptive pattern-oriented chess". (2) Like its predecessors, Morph TV is a reinforcement learner, but it also uses a new technique we call pattern-level TD and Q-learning to mathematically map the state space and effectively learn to classify situations. Its three knowledge sources include two traditional ones: material and a piece-square table, and a new method called Distance. These are combined using a simple genetic algorithm and a decision tree. This paper shows the effectiveness of fusing knowledge to replace search in real-time situations, since an agent which combines all sources is capable of consistently beating an agent which employs any of the individual knowledge sources. Surprisingly, the pattern-level TD agent is slightly superior to the pattern-level Q-learning agent, despite the fact that the Q-learning agent updates more Q-values on each temporal step.
The Multi-sensorfusion Management (MSFM) algorithm is extended to admit a richer variety of behavior. More realistic sensor characteristic models are used such as detection-plus-bearing sensors and false alarm probab...
详细信息
The Multi-sensorfusion Management (MSFM) algorithm is extended to admit a richer variety of behavior. More realistic sensor characteristic models are used such as detection-plus-bearing sensors and false alarm probabilities commensurate with actual sonar sensor systems. The performance of the modified MSFM algorithm is illustrated on a realistic anti-submarine warfare (ASW) application.
We discuss Virtual Associative Networks (VANs) and their relevance for addressing computationally prohibitive sensorfusion problems (with results in Dynamic sensor Management). To our knowledge, this discussion of VA...
详细信息
We discuss Virtual Associative Networks (VANs) and their relevance for addressing computationally prohibitive sensorfusion problems (with results in Dynamic sensor Management). To our knowledge, this discussion of VAN technology for sensorfusion is unique and our current result involving VANs for Dynamic sensor Management is the first of its kind. The following provides methodology, results, and extensions.
Situational Awareness is one of the keys to realizing the full potential of a weapons platform. It encompasses mission planning and rehearsal, the optimum use of offensive and defensive resources, and post mission ana...
详细信息
Situational Awareness is one of the keys to realizing the full potential of a weapons platform. It encompasses mission planning and rehearsal, the optimum use of offensive and defensive resources, and post mission analysis. In this report, the Situation Awareness process is described as it relates to the integration of Electronic Warfare (EW) with targeting and intelligence and information warfare systems. Discussion is focused on the sensorfusion, Situation Assessment, and Response Management Strategies.
A fuzzy logic based data association routine has been developed. The concept is based on very simple fuzzy logic implementation. The resulting technique is intended as an enhancement to current data association routin...
详细信息
A fuzzy logic based data association routine has been developed. The concept is based on very simple fuzzy logic implementation. The resulting technique is intended as an enhancement to current data association routines when added information such as sensor blockage and forbidden terrain knowledge can be incorporated into the system.
A new track-to-track association algorithm mixing kinematics data provided by the radar and identification data provided by the Electronic Support Measure (ESM) sensor is presented. The performance of this algorithm i...
详细信息
A new track-to-track association algorithm mixing kinematics data provided by the radar and identification data provided by the Electronic Support Measure (ESM) sensor is presented. The performance of this algorithm is confirmed in terms of probability of correct association and probability of false association. This algorithm provides the double advantage of providing information about the common origin of the tracks and an identification of each track.
We propose an unbiased multifeature fusion Pulse Coupled Neural Network (PCNN) algorithm. The method shares linking between several PCNNs running in parallel. We illustrate the PCNN fusion technique with a clean and n...
详细信息
We propose an unbiased multifeature fusion Pulse Coupled Neural Network (PCNN) algorithm. The method shares linking between several PCNNs running in parallel. We illustrate the PCNN fusion technique with a clean and noisy three-band color image example.
暂无评论