Detta projekt har syftat till att undersöka möjligheten att implementera en dopplerradar för använding av cyklister i trafik med hjälp av radarkomponent TRX_024_06 från Silicon Radar. Tanken är att radarkomponenten skall vara en del av ett varningssystem som uppmärksammar användaren för bakomvarande trafik. En dopplerradar har implementerats med hjälp av TRX_024_06 tillsammans med en USB-ansluten A/D-omvandlare (NI USB-6216), filter, förstärkare och en bärbar dator med studentversion av LabView installerat. De experiment som har utförts har visat radarkomponentens egenskaper i inomhusmiljö och i trafik, där signalbehandling sker med hjälp av program i LabView. De parametrar som har varit föremål för undersökning är hastighet och riktning hos de fordon som befinner sig bakom cykel. Det har även gjorts försök att ta fram tryckta Yagi-Uda antenner för mottagning och sändning av radiovågor. Dessa har tillverkats på kretskortlaminat och testats i nätverksanalysator och tillsammans med radarkomponenten. / The aim of this project has been to examine the possibility to implement a doppler radar for use by cyclists in traffic with the radar component TRX_024_06 from Silicon Radar. The main idea is that the radar component should be part of a warning system that makes the user aware of traffic in the direction behind the bicykle. A doppler radar has been implemented with TRX_024_06, an USB-connected A/D-converter (NI USB-6216), active filters, amplifiers and a laptop with a student version of LabView installed. The experiments performed shows the properties of TRX_024_06 when placed indoors and in traffic. The signal processing is done by a program made in LabView. The parameters of interest has been the speed and direction of the veichles located behind the bicykle. An attempt to design printed Yagi-Uda antennas for transmission and reception of radiowaves has also been made. These have been printed on a circuit board and tested with a network analyser and with the radar component.

Abstract Purpose – To study the possibility of using a NIR hardware solution to photograph individuals in a private vehicle as well as an analysis of its images. Method – A study of existing theories around the NIR-method’s performance in selected conditions and individual tests were performed to examine if the literature statements were valid for this study. Two empirical tests have been carried out, the first was carried out at Kapsch test track and the other outside the test track in a single stationary test. An interview which formed the basis for the assessment on the quality of empirical data with a focus on computer-based detection of the number of individuals in the vehicle. Findings – The results have demonstrated the potential of the NIR method’s performance in a fully automated detection system for the number of individuals inside the vehicle. Empirical data indicates that the method can depict individuals inside vehicles of sufficiently high quality, but it is greatly affected by reflections, weather and light conditions. Implications – Result supports the assumption that the NIR method using an external light source can be used to image the interior through a varying number of weather and lightning conditions. The study originated until the results suggested that a NIR-based hardware setup can create images with high enough quality for the human eye to be able to detect the number of individuals inside the vehicle.If the overall performance into account, it suggests that the main problem with the use of the hardware set is to maintain the quality of the whole sample and that the crucial variables for the method’s performance is the influence of light and reflection conditions. Limitations – The major limitations have been that we limited ourselves to a subjective analysis of the selection and assessment on the image features for computer-based detection of the number of individuals in the vehicle. We were limited to two tests, one in tough conditions where only the driver was in the vehicle and the second stationary test, where the focus was on the number of people in vehicles and light sources impact on the result.