Sökning: "Objekt detektering"
Visar resultat 1 - 5 av 44 uppsatser innehållade orden Objekt detektering.
1. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER
2. Design and implementation of an affordable reversing camera system with object detection and OBD-2 integration for commercial vehicles
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : This thesis is about designing and implementing an affordable reversing camera sys-tem with object detection and OBD-2 integration for commercial vehicles. The aim is to improve the safety and efficiency of these vehicles by giving drivers a clear view of their surroundings behind the vehicle and alerting them to the presence of nearby obstacles. LÄS MER
3. Introducing disturbances to a chopped PIR sensor when investigating the performance in an office environment
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This master's thesis, conducted in collaboration with Knowit Connectivity, aims to develop a booking device for meeting rooms. The focus of the project is to identify and mitigate disturbances in the C-PIR sensor introduced by Haili Liu et al. LÄS MER
4. Image and RADAR fusion for autonomous vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. LÄS MER
5. Reachability Analysis for Occlusion Reasoning in Realistic Autonomous Driving Scenarios
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this Bachelor Thesis, we tackle a crucial issue in autonomous driving technology - the detection and reasoning of occluded areas and potential occluded vehicles in realistic scenarios. Autonomous driving has gained significant momentum in recent years, but ensuring safety remains a major concern. LÄS MER