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 …
objects with a temperature above absolute zero. This type of camera was originally …
Survey of pedestrian detection for advanced driver assistance systems
Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …
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 …
filters for pedestrian path prediction at short time horizons (< 2 s). We consider Extended …
Pedestrian street-cross action recognition in monocular far infrared sequences
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 …
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 …
cameras. Since pedestrian detection in far-infrared images can be difficult in some …
Pedestrian detection in far infrared images
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 …
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 …
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 …
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
Active safety systems which assess highly dynamic traffic situations including pedestrians
are required with growing demands in autonomous driving and Connected Vehicles. In this …
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 …
been developed in the last years in this domain. We tried to identify the main character of an …