Transportens och logistikens framtid kräver exakta och tillförlitliga men även kostnadseffektiva sensorer. I den här rapporten testas därför några attribut för en Pulse Coherent Radar för att avgöra om det är möjligt att urskilja en person från metall. I rapporten kommer en metod att användas för att skilja de två materialen, detta helt enkelt genom att mäta amplituden av energiinnehållet hos den reflekterade radarstrålen på olika avstånd för de olika materialen. Experimentets resultat visar att metall lätt kan identifieras från en person, men detta endast för att skillnaden i den relativa permittiviteten hos dessa material är väldigt stor. Material med mer likvärdig relativ permittivitet har inte undersökts men mätvärden från dessa material antas vara för likvärdig och därför svårt att identifiera. Metoden anses därför kunna användas då det endast är få material med stor skillnad i relativ permittivitet som ska urskiljas. / The future of transportation and logistics demand accurate and reliable but also cost and energy effective sensors. In this paper, some attribute of a Pulse Coherent Radar will be tested to determine if it is possible to distinguish a person from metal. In the paper one method will be used to distinguish the two materials, this just by simply measure the amplitude of energy of the received radar beam at different distances. Experiment results shows that metal can easily by distinguished from a person, but this only because of the great difference in the relative permittivity of these materials. Experiments for materials with more equivalent relative permittivity have not been investigated. The method is therefore considered to be usable as only a few materials with a large difference in relative permittivity are to be distinguished.

Flooding is a worldwide problem that every year causes substantial damage for the environment and stakeholders nearby, and this impact relates to several of the United Nations Sustainable Development Goals. Colombia is specially prone to flooding as 17% of its surface area is at risk of extreme flooding. In addition, there is something called a POT (plan de ordenamiento territorial) for every municipality in Colombia, which states how the territory should be managed. For this project the rivers were of particular interest, and the POT states that no temporary or permanent constructions are allowed within 30 meters on either side of a river. The purpose of this report was to investigate and analyze the possibilities of using UAV (unmanned aerial vehicle) -based photogrammetry and UAV-based LiDAR (light detection and ranging) technology to gather sufficient data for a model that could simulate different flooding scenarios in the examined area. Data from the UAV-based photogrammetry resulted in a complete visual overview of the examined area. The data gathered from the UAV-based light detection and ranging resulted in an accurate point cloud that could be processed into a DTM (digital terrain model) where three different flooding scenarios were simulated. The simulations and the visual model showed that majority of people in theexamined area were disobeying the POT and the 30 meter rule, therefore being in risk of flooding and impacting the natural diversity of the body of water. The simulation also showed that stakeholders close to the body of water were affected for each of the three different water level scenarios. In some cases, it was only vegetation and crops that got affected by the flooding scenario, while in other cases entire structures and buildings were damaged due to the increase of water level. To complement the flooding scenarios, interviews were conducted with people that have good knowledge of the area and of ecology, resulting in a stakeholder analysis. This provided an additional depth to the analysis and showed the complexity in the management of flooding in the area.