Sökning: "Autonomous Racing."
Visar resultat 1 - 5 av 21 uppsatser innehållade orden Autonomous Racing..
1. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. LÄS MER
2. Traction Adaptive Motion Planning for Autonomous Racing
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Autonomous driving technology is continuously evolving at an accelerated pace. The road environment is always uncertain, which requires an evasive manoeuvre that an autonomous vehicle can take. LÄS MER
3. Optimal Control and Race Line Planning for an Autonomous Race Car
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : In autonomous racing, arguably the most impactful modules in terms of lap time minimization are planning and control. Linköping University's Formula Student team has recently begun an organizational evolution towards building electric and autonomous race cars and this thesis aims to provide a solid foundation for a planning and control solution that the organization can continue to build upon. LÄS MER
4. Robust Perception for Formula Student Driverless Racing
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Building an autonomous system for race cars requires robust and highly accurate perception running in real time. This thesis proposes a novel ground removal strategy for 3D LiDAR perception, modelling the ground as several planes, and a novel clustering method for LiDARs that sweep the scene in a predefined pattern resulting in a 20-fold performance increase over clustering methods commonly used for this problem. LÄS MER
5. Estimate a neural networks training duration when it is learning to drive a car : Developing a neural network in a small racing game inUnity
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Machine learning technology is used daily in many aspects of computers. Neural network is a machine learning technique. The importance of carsthat are self driving has increased in recent years and the research about it has alsoincreased. LÄS MER