Sökning: "förarlösa fordon"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden förarlösa fordon.
1. Adaptive Cruise Control and Platooning With Tire Slip Awareness
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Platooning is a method where a chain of vehiclesdrive with small inter-vehicular distances. The many benefitsof autonomous platooning includes improved fuel economy,less congestion and safer transportation. To create a safe andfunctional platoon the operational software needs to be able tohandle various road surfaces without the risk of a crash. LÄS MER
2. Autonoma fordon i transportnätverket - En studie om de implementeringsbarriärer som föreligger för tunga autonoma transporter
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : Autonoma tunga transporter förmodas förändra transportsektorn i grunden. För att kunna implementera dessa fordonslösningar i dagens transportsystem behöver emellertid flertalet barriärer överkommas. Syftet med denna studie har varit att kategorisera och verifiera de barriärer som föreligger en implementering av tunga autonoma transporter. LÄS MER
3. On Optimal Lateral Tracking Control for Multi-Steered Autonomous Vehicles
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : The transport industry is experiencing a disruption as fully autonomous vehicles are introduced in traffic. The intelligent, driverless vehicles will reduce cost, liberate human effort and increase safety. LÄS MER
4. Remote Interface Design for Fault Handling of Driverless Trucks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : There are many potential benefits to reap from driverless trucks in the industry of freight transport. However, there are concerns about the uptime of these vehicles, and the concept of a control tower — that monitors and supports the decision-making of driverless trucks — has been suggested to address those concerns. LÄS MER
5. Exploring the Training Data for Online Learning of Autonomous Driving in a Simulated Environment
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : The field of autonomous driving is as active as it has ever been, but the reality where an autonomous vehicle can drive on all roads is currently decades away. Instead, using an on-the-fly learning method, such as qHebb learning, a system can,after some demonstration, learn the appearance of any road and take over the steering wheel. LÄS MER