25,261 research outputs found
Human Motion Trajectory Prediction: A Survey
With growing numbers of intelligent autonomous systems in human environments,
the ability of such systems to perceive, understand and anticipate human
behavior becomes increasingly important. Specifically, predicting future
positions of dynamic agents and planning considering such predictions are key
tasks for self-driving vehicles, service robots and advanced surveillance
systems. This paper provides a survey of human motion trajectory prediction. We
review, analyze and structure a large selection of work from different
communities and propose a taxonomy that categorizes existing methods based on
the motion modeling approach and level of contextual information used. We
provide an overview of the existing datasets and performance metrics. We
discuss limitations of the state of the art and outline directions for further
research.Comment: Submitted to the International Journal of Robotics Research (IJRR),
37 page
Analysing Human Mobility Patterns of Hiking Activities through Complex Network Theory
The exploitation of high volume of geolocalized data from social sport
tracking applications of outdoor activities can be useful for natural resource
planning and to understand the human mobility patterns during leisure
activities. This geolocalized data represents the selection of hike activities
according to subjective and objective factors such as personal goals, personal
abilities, trail conditions or weather conditions. In our approach, human
mobility patterns are analysed from trajectories which are generated by hikers.
We propose the generation of the trail network identifying special points in
the overlap of trajectories. Trail crossings and trailheads define our network
and shape topological features. We analyse the trail network of Balearic
Islands, as a case of study, using complex weighted network theory. The
analysis is divided into the four seasons of the year to observe the impact of
weather conditions on the network topology. The number of visited places does
not decrease despite the large difference in the number of samples of the two
seasons with larger and lower activity. It is in summer season where it is
produced the most significant variation in the frequency and localization of
activities from inland regions to coastal areas. Finally, we compare our model
with other related studies where the network possesses a different purpose. One
finding of our approach is the detection of regions with relevant importance
where landscape interventions can be applied in function of the communities.Comment: 20 pages, 9 figures, accepte
Evolution of mobility governance in Flanders: opening up for bottom-up initiatives or suffering from lock-in?
Mobility policy in Flanders lacks a clear discourse on implementing the policy objectives for 2020 and beyond. Though mobility planning can show success stories, mobility problems seem to aggravate. For supra local mobility projects in Flanders the executive power often lies with deconcentrated administrations at the level of the province, this is e.g. the case for public transportation and major roads, where province boundaries impede public transport projects across borders. For local mobility plans, the local administration and council have the power. But as these local mobility plans have highly formalised procedures, they tend to be rigid frameworks or administrations and risk to be suffering from lock-in. There is a need for new dynamics in mobility policy in reference to present developments. Here bottom-up or outside-in initiatives can be regarded as the key to real change. To that end radical changes in the organisation and mobility planning itself are necessary to meet these new inititiaves from the bottum-up and outside-in. Next to hardware and software approaches or innovations to turn mobility planning more sustainable, we additionally propose in this paper an ‘orgware’ solution, demonstrated in some case studies. In these cases key actors of bottom-up projects and their associations with other actors are visualised. Furthermore barriers and potentials for implementation are formulated leading onto recommendations for further research in order to improve the implementation of the policy objectives
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