Sökning: "safe navigation"
Visar resultat 1 - 5 av 52 uppsatser innehållade orden safe navigation.
1. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. LÄS MER
2. AUV SLAM for Algae Farm Inspection : 3D Mosaicing using Sonar-Based SLAM
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The progression of seaweed farming and cultivation to an industrial scale relies on automating its processes. Utilization of Autonomous Underwater Vehicle (AUV) can enable this process through their capacity to automate crop and structural inspections. LÄS MER
3. Evaluation of Velocity Obstacle Approaches for Groups of Agents Navigating Everyday Scenarios
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As recent years have seen an increase in use of robotics in both public and private spaces, evaluations to ensure safe and efficient navigation through common scenarios are needed. The same evaluations can improve simulations of human behaviour used in for example evacuation simulations. LÄS MER
4. Velocity Obstacle method adapted for Dynamic Window Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER
5. Utvecklandet av ett mer användbart system : - En designanalys av ledningssystemet C2STRIC -
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : In a modern world torn apart by war the basic human need to feel safe is threatened. In order to defend and protect this need, technical defense systems solving complex situations are of great importance. As the rate of technological innovation accelerates it is important for companies like Saab to maintain their competitive advantage. LÄS MER