Essays about: "undvikande av hinder"
Showing result 1 - 5 of 13 essays containing the words undvikande av hinder.
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1. Lateral Control of Heavy Vehicles
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : 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. READ MORE
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2. 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
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. AUV SLAM for Algae Farm Inspection : 3D Mosaicing using Sonar-Based SLAM
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Velocity Obstacle method adapted for Dynamic Window Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE