Tracking in a cluttered environment with probabilistic data association
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Summary
Simulation results obtained for tracking an object in a cluttered environment show the PDAF to give significantly better results than the standard filter currently in use for this type of problem.
- Type
- article
- Published
- 1975-09-01
- Cited by
- 1,066
- References
- 9
- OpenAlex
- https://openalex.org/W2011833091
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:121006529
Keywords
Probabilistic logic, Data association, Filter (signal processing), Tracking (education), Computer science
References
- New results in optimizing surveillance system tracking and data correlation performance in dense multitarget environments
- An efficient suboptimal decision procedure for associating sensor data with stored tracks in real-time surveillance systems
- Adaptive nonlinear filtering for tracking with measurements of uncertain origin
- An innovations approach to least-squares estimation--Part II: Linear smoothing in additive white noise
- An optimal tracking filter for processing sensor data of imprecisely determined origin in surveillance systems
- Derivation and evaluation of improved tracking filter for use in dense multitarget environments
- A comparison of several nonlinear filters for reentry vehicle tracking
- On state estimation in switching environments
- On state estimation in switching environments
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- First Order Multiple Hypothesis Testing for the Global Nearest Neighbor Data Correlation Approach
- Stochastic models and methods for multi-object tracking
- A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking
- Evitement d'obstacles par invariants visuels
- Cooperative anchoring: sharing information about objects in multi-robot systems
- Multiple-model tracking with fixed-lag smoothing using imprecise information
- Multiple-Target Tracking in Complex Scenarios
- Robust Moving Sound Source Localisation
- Tracking of Extended Crossing Objects Using the Viterbi Algorithm
- Improved multiuser detection in code-division multiple access communications
- Simultaneous localization and mapping for structured indoor environments
- Practical methods for Gaussian mixture filtering and smoothing
- Clutter Mitigation for Target Tracking
- Shape Based Recognition – Cognitive Vision Systems in Traffic Safety Applications
- Estimation, Decision and Applications to Target Tracking
- Ranking and optimization of target tracking algorithms
- Bayesian filtering for automotive applications
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