Sökning: "Autonomous Driving"
Visar resultat 1 - 5 av 446 uppsatser innehållade orden Autonomous Driving.
1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : 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. LÄS MER
2. Självkörande fordon : En fallstudie av positiva och negativa ekonomiska och socialaeffekter av införande av självkörande lastbilar i ett transportföretag.
Kandidat-uppsats,Sammanfattning : The transport industry is facing major challenges as customers strive for high quality services and fast deliveries. Therefore, transport companies started investing in new innovations to be able to satisfy the customer's requirements. LÄS MER
3. On Expressing Automotive Maneuvers with SFC
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Conventional methods for testing autonomous driving software often involve dealing with a large number of dimensions, which can complicate the processing and analysis of test datasets. Therefore, there is a pressing need to develop a more efficient approach that is both time and cost-effective. LÄS MER
4. Challenges in Specifying Safety-Critical Systems with AI-Components
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER
5. On Systematically Exploring the State Space for Events with SFCs
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : 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. LÄS MER