Thermal cameras and applications: a survey

R Gade, TB Moeslund - Machine vision and applications, 2014 - Springer
Thermal cameras are passive sensors that capture the infrared radiation emitted by all
objects with a temperature above absolute zero. This type of camera was originally …

Survey of pedestrian detection for advanced driver assistance systems

D Geronimo, AM Lopez, AD Sappa… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …

Pedestrian path prediction with recursive bayesian filters: A comparative study

N Schneider, DM Gavrila - german conference on pattern recognition, 2013 - Springer
In the context of intelligent vehicles, we perform a comparative study on recursive Bayesian
filters for pedestrian path prediction at short time horizons (< 2 s). We consider Extended …

Pedestrian street-cross action recognition in monocular far infrared sequences

RD Brehar, MP Muresan, T Mariţa, CC Vancea… - IEEE …, 2021 - ieeexplore.ieee.org
The early recognition and understanding of the actions performed by pedestrians in traffic
scenes leads to an anticipation of pedestrian intentions in advance and helps in the process …

Pedestrian detection by means of far-infrared stereo vision

M Bertozzi, A Broggi, C Caraffi, M Del Rose… - Computer vision and …, 2007 - Elsevier
This article presents a stereo system for the detection of pedestrians using far-infrared
cameras. Since pedestrian detection in far-infrared images can be difficult in some …

Pedestrian detection in far infrared images

D Olmeda, C Premebida, U Nunes… - Integrated …, 2013 - content.iospress.com
This paper presents an experimental study on pedestrian classification and detection in far
infrared (FIR) images. The study includes an in-depth evaluation of several combinations of …

Trajectory prediction of cyclists using a physical model and an artificial neural network

S Zernetsch, S Kohnen, M Goldhammer… - 2016 IEEE Intelligent …, 2016 - ieeexplore.ieee.org
This article presents two methods for predicting the trajectories of cyclists at an intersection
and compares them to a Kalman Filter (KF) approach. The first method uses a physical …

Intentions of vulnerable road users—Detection and forecasting by means of machine learning

M Goldhammer, S Köhler, S Zernetsch… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition
of critical situations is one of the manifold opportunities provided by the current development …

A probabilistic model of pedestrian crossing behavior at signalized intersections for connected vehicles

Y Hashimoto, Y Gu, LT Hsu, M Iryo-Asano… - … research part C …, 2016 - Elsevier
Active safety systems which assess highly dynamic traffic situations including pedestrians
are required with growing demands in autonomous driving and Connected Vehicles. In this …

Sensors for obstacle detection-a survey

A Discant, A Rogozan, C Rusu… - 2007 30th International …, 2007 - ieeexplore.ieee.org
The obstacle detection field is a very broad one and a lot of obstacle detection systems have
been developed in the last years in this domain. We tried to identify the main character of an …