Sökning: "Vehicle Tracking"
Visar resultat 1 - 5 av 143 uppsatser innehållade orden Vehicle Tracking.
1. Lateral Control of Heavy Vehicles
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. LÄS MER
2. Barriers and Enablers for Repurposing Vehicle Components in Cross-Sector Collaborations : A Case Study of a Swedish Vehicle Manufacturer
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Sweden's economy is currently heavily dependent on a linear economy model, where raw material ultimately is discarded as waste. The linear approach is unsustainable for manufacturing companies in the long term. LÄS MER
3. Robust light source detection for AUV docking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For Autonomous Underwater Vehicles (AUVs) to be able to conduct longterm surveys, the ability to return to a docking station for maintenance and recharging is crucial. A dynamic docking system where a slowly moving submarine acts as the docking station provides increased hydrodynamic control and reduces the impact of environmental disturbances. LÄS MER
4. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER
5. Real Time Vehicle Detection for Intelligent Transportation Systems
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER