Road Hazard Detection and Sharing with Multimodal Sensor Analysis on Smartphones

Eren, Pekin Erhan


Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle
Skoglar, Per; Orguner, Umut; Tornqvist, David; Gustafsson, Fredrik (2012-07-01)
This article considers a sensor management problem where a number of road bounded vehicles are monitored by an unmanned aerial vehicle (UAV) with a gimballed vision sensor. The problem is to keep track of all discovered targets and simultaneously search for new targets by controlling the pointing direction of the vision sensor and the motion of the UAV. A planner based on a state-machine is proposed with three different modes; target tracking, known target search, and new target search. A high-level decisio...
Road network extraction from high-resolution multi spectral satellite images
Karaman, Ersin; Çetin, Yasemin; Department of Information Systems (2012)
In this thesis, an automatic road extraction algorithm for multi-spectral images is developed. The developed model extracts elongated structures from images by using edge detection, segmentation and clustering techniques. The study also extracts non-road regions like vegetative fields, bare soils and water bodies to obtain more accurate road map. The model is constructed in a modular approach that aims to extract roads with different characteristics. Each module output is combined to create a road score map...
Road users’ evaluations and perceptions of road infrastructure, trip characteristics, and daily trip experiences across countries
Solmazer, Gaye; Azık Özkan, Derya; Ersan, Özlem; Kaçan, Bilgesu; Üzümcüoğlu, Yeşim; Fındık, Gizem; Lajunen, Timo; Özkan, Türker; Pashkevich, Anton; Öz, Bahar; Pashkevich, Maria; Danelli-Mylona, Vassiliki; Georgogianni, Dimitra; Berisha Krasniqi, Ema; Krasniqi, Muhamed; Makris, Evangelos; Shubenkova, Ksenia; Xheladini, Gentianë (2021-09-01)
Governments in every country have made attempts to encourage road safety, and road users’ perceptions of these attempts are crucial to understanding community needs and the effectiveness of road safety initiatives. However, while many studies compare countries with respect to fatality rates or possible causative factors related to these fatalities, little is known about how road users in different countries evaluate and perceive their tangible road environments from their own points of view. Therefore, the ...
Road extraction from high resolution satellite images using adaptive boosting with multi-resolution analysis
Çınar, Umut; Çetin, Yasemin; Department of Information Systems (2012)
Road extraction from satellite or aerial imagery is a popular topic in remote sensing, and there are many road extraction algorithms suggested by various researches. However, the need of reliable remotely sensed road information still persists as there is no sufficiently robust road extraction algorithm yet. In this study, we explore the road extraction problem taking advantage of the multi-resolution analysis and adaptive boosting based classifiers. That is, we propose a new road extraction algorithm explo...
Road extraction from satellite images by self supervised classification and perceptual grouping
Şahin, Eda; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2013)
Road network extraction from high resolution satellite imagery is the most frequently utilized technique for updating and correcting geographic information system (GIS) databases, registering multi-temporal images for change detection and automatically aligning spatial datasets. This advance method is widely employed due to the improvements in satellite technology such as development of new sensors for high resolution imagery. To avoid the cost of the human interaction, various automatic and semi-automatic ...
Citation Formats
F. ORHAN and P. E. Eren, “Road Hazard Detection and Sharing with Multimodal Sensor Analysis on Smartphones,” 2013, Accessed: 00, 2020. [Online]. Available: