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Showing result 1 - 5 of 563 essays matching the above criteria.
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1. Learning a Grasp Prediction Model for Forestry Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. READ MORE
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2. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
University essay from Uppsala universitet/Signaler och systemAbstract : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. READ MORE
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3. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. READ MORE
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4. Early-Stage Validation of Autonomous Vehicles in Ambiguous Environments : A Systems-Theoretic Process Analysis (STPA) of an Autonomous Military Defense Industry Vehicle
University essay from Linköpings universitet/FordonssystemAbstract : This report delves into the early developmental phase of an autonomous vehicle designed for defense applications. Navigating diverse terrains, this unmanned ground vehicle (UGV) poses unique challenges, particularly in the absence of clearly defined directives found in typical traffic scenarios. READ MORE
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5. On Systematically Exploring the State Space for Events with SFCs
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In the process of developing autonomous driving systems (AD systems), ensuring safety remains a constant and continuous priority. Scenario-based testing is a popular approach to guarantee the safety of AD systems, which however meets challenges in terms of diversity and efficiency of generation, as well as evaluating existing test case datasets in terms of their coverage of the different variations of a particular maneuver. READ MORE