Acar, B. Serpil
Moustafa, M.
Esat, Volkan
Acar, Memis
Computational occupant modelling has an effective role to play in investigating road safety. Realistic representation of occupants is very important to make investigations in virtual environment. Pregnant occupant modelling can help investigating safety for unborn occupants (fetuses) however, existing pregnant occupant models are not very realistic. Most do not anthropometrically represent pregnant women and do not include a fetus model.


Tracking Reported Vehicles in Traffic Management and Information System using Intelligent Junctions
Elci, Atilla; RAHNAMA, BEHNAM; Amintabar, Amirhasan (2010-05-01)
This study highlights a security scenario involving vehicles in a Traffic Management and Information System (TMIS) network. TMIS and its nodal architecture, nicknamed Intelligent Junction (IJ), are summarized from our recent work. System design sets an example to a software architecture implementing autonomous semantic agents through semantic web services, junction-based sensor networks, local- and wide-area networking through wire/wireless integrated communication infrastructure. It is so construed as to p...
Investigating driving instructors: The mediating roles of driving skills in the relationship between organizational safety strategies and driver behaviours
Üzümcüoğlu, Yeşim; Öz, Bahar; Özkan, Türker; Lajunen, Timo (Elsevier BV, 2021-01-01)
© 2020 Elsevier LtdThe aim of the present study is to investigate the mediating roles of driving skills in relationship between organizational safety strategies and driver behaviours among driving instructors. Driving skills consist of perceptual-motor skills and safety skills. Driver behaviours are investigated under four factors: violations, errors, lapses, and positive driver behaviours. Participants were 132 driving instructors (108 male and 24 female). In order to measure organizational safety strategi...
Route planning for unmanned air vehicles
Tulum, Kamil; İder, S. Kemal; Department of Mechanical Engineering (2009)
In this thesis, automatic routing technologies for unmanned air vehicles are investigated. A route planner that minimizes the fuel consumption and maximizes the survivability is developed. While planning the route, using more than one objective entails the auto-routing problem to multi-objective optimization considerations. In this work, these considerations are handled with search algorithms. In order to assess the route options, a fuel consumption model and a survivability model are utilized for the route...
Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings
Özgenel, Çağlar Fırat; Sorguç, Arzu (2018-07-01)
Crack detection has vital importance for structural health monitoring and inspection of buildings. The task is challenging for computer vision methods as cracks have only low-level features for detection which are easily confused with background texture, foreign objects and/ or irregularities in construction. In addition, difficulties such as inhomogeneous illumination and irregularities in construction present an obstacle for fully autonomous crack detection in the course of building inspection and monitor...
Evaluation of deep learning based multiple object trackers
Moured, Omar; Akar, Gözde; Department of Electrical and Electronics Engineering (2020-9)
Multiple object tracking (MOT) is a significant problem in the computer vision community due to its applications, including but not limited to, surveillance and emerging autonomous vehicles. The difficulties of this problem lie in several challenges, such as frequent occlusion, interaction, intra-class variations, in-and-out objects, etc. Recently, deep learning MOT methods confront these challenges effectively. State-of-the-art deep learning (DL) trackers pipeline consists of two stages, i.e., appearance h...
Citation Formats
B. S. Acar, M. Moustafa, V. Esat, and M. Acar, “PREGNANT OCCUPANT MODEL INCLUDING A FETUS FOR VEHICLE SAFETY INVESTIGATIONS,” 2014, p. 0, Accessed: 00, 2020. [Online]. Available: