A survey on path prediction techniques for vulnerable road users: From traditional to deep-learning approaches

A Bighashdel, G Dubbelman - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
Behavior analysis of Vulnerable Road Users (VRU) s has become a crucial topic in the
computer vision research area. In recent decades, numerous papers have extensively …

Long-term path prediction in urban scenarios using circular distributions

P Coscia, F Castaldo, FAN Palmieri, A Alahi… - Image and Vision …, 2018 - Elsevier
Human ability to foresee the near future plays a key role in everyone's life to prevent
potentially dangerous situations. To be able to make predictions is crucial when people …

Robust pedestrian tracking using interactive multiple model particle filter and feature matching

ZC Chen, CW Tang - 2018 3rd International Conference on …, 2018 - ieeexplore.ieee.org
Pedestrian tracking with a single motion model and a single cue cannot be robust against
combination of changes of target motion and appearance, caused by either static or dynamic …

Motion priors based on goals hierarchies in pedestrian tracking applications

F Madrigal, JB Hayet - Machine Vision and Applications, 2017 - Springer
In this paper, the problem of automated scene understanding by tracking and predicting
paths for multiple humans is tackled, with a new methodology using data from a single, fixed …

[PDF][PDF] Towards a safe interaction between humans and industrial robots through perception algorithms and control strategies.

M Ragaglia - 2016 - academia.edu
In the past few years the need for more flexibility in industrial production has implied, in the
field of industrial robotics, a growing attention towards the possibility of making humans work …