From slam to situational awareness: Challenges and survey

H Bavle, JL Sanchez-Lopez, C Cimarelli, A Tourani… - Sensors, 2023 - mdpi.com
The capability of a mobile robot to efficiently and safely perform complex missions is limited
by its knowledge of the environment, namely the situation. Advanced reasoning, decision …

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 …

Sensing solutions for collecting spatio-temporal data for wildlife monitoring applications: a review

M Baratchi, N Meratnia, PJM Havinga, AK Skidmore… - Sensors, 2013 - mdpi.com
Movement ecology is a field which places movement as a basis for understanding animal
behavior. To realize this concept, ecologists rely on data collection technologies providing …

Granularity in software product lines

C Kästner, S Apel, M Kuhlemann - Proceedings of the 30th international …, 2008 - dl.acm.org
Building software product lines (SPLs) with features is a challenging task. Many SPL
implementations support features with coarse granularity-eg, the ability to add and wrap …

People detection and tracking from aerial thermal views

J Portmann, S Lynen, M Chli… - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
Detection and tracking of people in visible-light images has been subject to extensive
research in the past decades with applications ranging from surveillance to search-and …

[HTML][HTML] Autonomous thermal vision robotic system for victims recognition in search and rescue missions

C Cruz Ulloa, G Prieto Sánchez, A Barrientos… - Sensors, 2021 - mdpi.com
Technological breakthroughs in recent years have led to a revolution in fields such as
Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and …

Pedestrian detection for autonomous vehicle using multi-spectral cameras

Z Chen, X Huang - IEEE Transactions on Intelligent Vehicles, 2019 - ieeexplore.ieee.org
Pedestrian detection is a critical feature of autonomous vehicle or advanced driver
assistance system. This paper presents a novel instrument for pedestrian detection by …

Heatnet: Bridging the day-night domain gap in semantic segmentation with thermal images

J Vertens, J Zürn, W Burgard - 2020 IEEE/RSJ International …, 2020 - ieeexplore.ieee.org
The majority of learning-based semantic segmentation methods are optimized for daytime
scenarios and favorable lighting conditions. Real-world driving scenarios, however, entail …

[PDF][PDF] Multiple Pedestrian Detection and Tracking in Night Vision Surveillance Systems

A Raza, SA Chelloug, MH Alatiyyah, A Jalal, J Park - CMC, 2023 - cdn.techscience.cn
Pedestrian detection and tracking are vital elements of today's surveillance systems, which
make daily life safe for humans. Thus, human detection and visualization have become …

Convolutional neural network-based human detection in nighttime images using visible light camera sensors

JH Kim, HG Hong, KR Park - Sensors, 2017 - mdpi.com
Because intelligent surveillance systems have recently undergone rapid growth, research
on accurately detecting humans in videos captured at a long distance is growing in …