Publicaties
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Cloudlet-based large-scale 3D reconstruction using real-time data from mobile depth cameras Universiteit Gent
Automatic camera to laser calibration for high accuracy mobile mapping systems using INS Universiteit Gent
Automatic detection of a one dimensional ranging pole for robust external camera calibration in mobile mapping Universiteit Gent
Accuracy enhancement of the measuring probe for a camera based mobile CMM KU Leuven
Mobile CMMs (Coordinate Measuring Machines) are often the only solution for measuring large objects. Some of those mobile CMMs use probes provided with LEDs in order to identify the probe position. This paper proposes a new probe LED configuration that improves the accuracy of the measuring probe for a camera based mobile CMM by 50 percent. The redesign is obtained by taking into account the direction dependent uncertainty zones of the LED ...
Mobile camera localization using Apollonius circles and virtual landmarks Universiteit Antwerpen
We investigate the localization of a camera subject to a planar motion with horizontal optical axis in the presence of known vertical landmarks. Under these assumptions, a calibrated camera can measure the distance to the viewed landmarks. We propose to replace the trilateration method by intersecting a pair of Chasles-Apollonius circles. In the case of square pixels but unknown focal length we introduce a new method to recover the camera ...
Drivers' behavioral responses to combined speed and red light cameras Universiteit Hasselt
Background: Numerous signalized intersections worldwide have been equipped with enforcement cameras in order to tackle red light running and often also to enforce speed limits. However, various impact evaluation studies of red light cameras (RLCs) showed an increase of rear-end collisions (up to 44%). Objective: The principal objective of this study is to provide a better insight in possible explaining factors for the increase in rear-end ...
Driving behavior at intersections equipped with red light cameras – A Monte Carlo Simulation based on driving simulator data Universiteit Hasselt
Background: Various impact evaluation studies of red light cameras (RLCs) showed an increase of rear-end collisions (up to 44%). Objective: To evaluate the driving and looking behavior of drivers at intersections equipped with RLCs in an urban area. Method: 63 participants passed an intersection without RLC, with RLC, and with RLC + warning sign (RLCWS) in a driving simulator. These data were used to estimate the risk of rear-end collisions by ...