Sökning: "potholes"
Visar resultat 1 - 5 av 13 uppsatser innehållade ordet potholes.
1. Automation of forest road inventory using computer vision and machine learning
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. LÄS MER
2. Optimization and Bayesian Modeling of Road Distance for Inventory of Potholes in Gävle Municipality
Kandidat-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : Time management and distance evaluation have long been a difficult task for workers and companies. This thesis studies 6712 pothole coordinates in Gävle municipality, and evaluates the minimal total road distance needed to visit each pothole once, and return to an initial pothole. LÄS MER
3. Off-road Driving with Deteriorated Road Conditions for Autonomous Driving Systems
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Recent studies on robustness of machine learning systems shows that today’s autonomous vehicles struggle with very basic visual disturbances such as rain or snow. There is also a lack of training data that includes off road scenes or scenes with different forms of deformation to the road surface. LÄS MER
4. Arkeologi och folktro : En undersökning av skålgroparnas användning genom tiden
Kandidat-uppsats, Uppsala universitet/Institutionen för arkeologi och antik historiaSammanfattning : Cup marks are often described in historical records as belonging to the fairies of Swedish folklore, hence going under the name “fairy mills” or “elf mills” (in Swedish älvkvarn). The name derives from the belief that the fairies used the cups as their mills for grinding seed. LÄS MER
5. FPGA Implementation of Feature Matching in ORB-SLAM2
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. LÄS MER