2019
DOI: 10.3390/s19194279
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Predicting Agent Behaviour and State for Applications in a Roundabout-Scenario Autonomous Driving

Abstract: As human drivers, we instinctively employ our understanding of other road users’ behaviour for enhanced efficiency of our drive and safety of the traffic. In recent years, different aspects of assisted and autonomous driving have gotten a lot of attention from the research and industrial community, including the aspects of behaviour modelling and prediction of future state. In this paper, we address the problem of modelling and predicting agent behaviour and state in a roundabout traffic scenario. We present t… Show more

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Cited by 9 publications
(3 citation statements)
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References 30 publications
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“…Recent work by Muhammad and Åstrand [85] applied particle filters to predict road user behavior. In [86] they addressed the problem of modeling and predicting agent behavior and status in a roundabout traffic scenario. They presented three ways of modeling traffic in a roundabout based on (i) the roundabout geometry (which can be generated using drawings or satellite images, etc.…”
Section: Perceptionmentioning
confidence: 99%
“…Recent work by Muhammad and Åstrand [85] applied particle filters to predict road user behavior. In [86] they addressed the problem of modeling and predicting agent behavior and status in a roundabout traffic scenario. They presented three ways of modeling traffic in a roundabout based on (i) the roundabout geometry (which can be generated using drawings or satellite images, etc.…”
Section: Perceptionmentioning
confidence: 99%
“…Recent work by Muhammad and Åstrand (Muhammad and Åstrand, 2018) apply particle filters to predict road user behaviour. In (Muhammad and Åstrand, 2019) the state prediction accuracy. The particle filter approach in (Magavi, 2020) was compared to a Recurrent Neural Network, namely, Long Short-Term Memory (LSTM) (Gers et al, 2000) to determine the specific behaviour model.…”
Section: Perceptionmentioning
confidence: 99%
“…The first step for decision-making in an autonomous vehicle or an assistance system is the understanding of the environment. Reference [10] presents three ways of modelling traffic in a roundabout, quite a critical scenario, based on: (i) The roundabout geometry; (ii) mean path taken by vehicles inside the roundabout; and (iii) a set of reference trajectories traversed by vehicles inside the roundabout.…”
Section: Papers In the Special Issuementioning
confidence: 99%